first working

2025-08-03 20:20:55 -04:00
commit cde56494ec
52 changed files with 1893 additions and 0 deletions
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -0,0 +1,17 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+
+        {
+            "name": "BIG pcap",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "airstream.py",
+            "console": "integratedTerminal",
+            "args": "--pcap FSTDaircraft.pcapng -s all"
+        }
+    ]
+}
--- a/0.csv
+++ b/0.csv
@@ -0,0 +1,165 @@
+Src IP,Src Port,Dst IP,Dst Port,Proto,Pkts,Bytes,Duration,Overview:Avg Size,Overview:Avg TimeΔ,Overview:Time 1σ,Overview:Pkt/s,Overview:B/s,Chapter10:Channels,Chapter10:Seq Errors,Chapter10:Pkt/s,Ch10Analog:Channels,Ch10Analog:Data Gaps,Ch10Analog:Overrange,Ch10Analog:Underrange,Ch10Analog:Pkt/s,Ch10TMATS:Versions,Ch10TMATS:Config Changes,Ch10TMATS:G-Records,Ch10TMATS:R-Records,Ch10TMATS:M-Records,Ch10PCM:Channels,Ch10PCM:Sync Errors,Ch10PCM:Bit Slips,Ch10PCM:Minor Frames,Ch10PCM:Major Frames,Ch10Time:Time Sources,Ch10Time:Format Changes,Ch10Time:Leap Seconds,Ch10Time:Discontinuities,Ch10Time:Max Delta,IENA:Key Fields,IENA:Seq Gaps,IENA:Pkt/s,PTP:Sync,PTP:Follow Up,PTP:Delay Req,PTP:Delay Resp,PTP:Announce,PTPSync:Sync Msgs,PTPSync:Follow-ups,PTPSync:Two-step,PTPSync:One-step,PTPSync:Clock IDs,PTPSync:Avg Interval,PTPAnnounce:Announce,PTPAnnounce:GM Changes,PTPAnnounce:Priority Changes,PTPAnnounce:Grandmasters,PTPAnnounce:Clock Classes,PTPDelay:Delay Req,PTPDelay:Delay Resp,PTPDelay:PDelay Req,PTPDelay:PDelay Resp,PTPDelay:Avg RTT
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+192.168.6.160,319,224.0.1.129,319,UDP,4,344,28.477,86.0,9.492486,7.880677,0.1,12.1,0,0,0.1,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.217,319,224.0.1.129,319,UDP,4,344,29.98,86.0,9.993465,4.654799,0.1,11.5,0,0,0.1,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.185,319,224.0.1.129,319,UDP,3,258,28.938,86.0,14.469163,1.31987,0.1,8.9,0,0,0.1,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.133,319,224.0.1.129,319,UDP,5,430,28.069,86.0,7.017292,4.175806,0.2,15.3,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.175,319,224.0.1.129,319,UDP,4,344,24.667,86.0,8.222474,6.770674,0.2,13.9,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.122,319,224.0.1.129,319,UDP,7,602,35.159,86.0,5.85981,5.678298,0.2,17.1,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.151,319,224.0.1.129,319,UDP,5,430,33.587,86.0,8.396728,4.989681,0.1,12.8,0,0,0.1,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.7.112,319,224.0.1.129,319,UDP,6,516,30.133,86.0,6.026505,5.83794,0.2,17.1,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.7.143,319,224.0.1.129,319,UDP,5,430,25.358,86.0,6.339618,4.699212,0.2,17.0,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.170,319,224.0.1.129,319,UDP,6,516,19.706,86.0,3.941216,2.849791,0.3,26.2,0,0,0.3,0,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.7.131,319,224.0.1.129,319,UDP,7,602,28.437,86.0,4.739563,4.642557,0.2,21.2,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.197,319,224.0.1.129,319,UDP,4,344,29.762,86.0,9.920579,3.661659,0.1,11.6,0,0,0.1,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.145,319,224.0.1.129,319,UDP,5,430,30.823,86.0,7.705734,3.558499,0.2,14.0,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.148,319,224.0.1.129,319,UDP,5,430,30.277,86.0,7.56925,4.641159,0.2,14.2,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.7.192,319,224.0.1.129,319,UDP,5,430,27.889,86.0,6.972166,5.219693,0.2,15.4,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.7.128,319,224.0.1.129,319,UDP,4,344,18.901,86.0,6.300387,6.09843,0.2,18.2,0,0,0.2,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+10.106.30.117,0,224.0.0.22,0,2,3,180,4.488,60.0,2.243994,3.032118,0.7,40.1,0,0,0.7,0,0,0,0,0.7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+192.168.6.1,5353,224.0.0.251,5353,UDP,4,344,1.005,86.0,0.334957,0.578808,4.0,342.3,0,0,4.0,0,0,0,0,4.0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
--- a/PTPGM.pcapng
+++ b/PTPGM.pcapng
--- a/FSTDaircraft.pcapng
+++ b/FSTDaircraft.pcapng
--- a/0
+++ b/0
--- a/airstream.py
+++ b/airstream.py
@@ -0,0 +1,61 @@
+#!/usr/bin/env python3
+
+import argparse
+
+from scapy.all import get_if_list
+
+from frametypes import FRAME_TYPES
+from core.analyzer import PacketFlowAnalyzer
+
+
+def main():
+    p = argparse.ArgumentParser(description="Airstream - Packet Flow Analyzer")
+    p.add_argument('-p', '--pcap', help='PCAP file')
+    p.add_argument('-i', '--interface', help='Network interface')
+    p.add_argument('-c', '--count', type=int, default=100, help='Packet count (default: 100)')
+    p.add_argument('-l', '--list-interfaces', action='store_true', help='List interfaces')
+    p.add_argument('-o', '--output', help='CSV output file')
+    p.add_argument('-s', '--stats', nargs='+', choices=list(FRAME_TYPES.keys()) + ['all'], 
+                   default=['overview'], help='Statistics types to use (default: overview, use "all" for all types)')
+    
+    args = p.parse_args()
+    
+    if args.list_interfaces:
+        print("Interfaces:", *get_if_list(), sep='\n  ')
+        return
+    
+    if not (args.pcap or args.interface):
+        p.error("Specify --pcap or --interface")
+    
+    # Handle 'all' option
+    if 'all' in args.stats:
+        selected_stats = list(FRAME_TYPES.keys())
+        stats_classes = list(FRAME_TYPES.values())
+    else:
+        selected_stats = args.stats
+        stats_classes = [FRAME_TYPES[s] for s in args.stats]
+    
+    print(f"Using stats: {', '.join(selected_stats)}")
+    
+    analyzer = PacketFlowAnalyzer(stats_classes)
+    
+    try:
+        if args.pcap:
+            analyzer.analyze_pcap(args.pcap)
+        else:
+            analyzer.analyze_live(args.interface, args.count)
+        
+        analyzer.print_summary()
+        
+        if args.output:
+            analyzer.summary().to_csv(args.output, index=False)
+            print(f"Saved: {args.output}")
+            
+    except KeyboardInterrupt:
+        print("\nInterrupted")
+    except Exception as e:
+        print(f"Error: {e}")
+
+
+if __name__ == "__main__":
+    main()
--- a/airstream_pyshark.py
+++ b/airstream_pyshark.py
@@ -0,0 +1,179 @@
+#!/usr/bin/env python3
+"""
+Airstream PyShark Proof of Concept
+===================================
+
+Alternative implementation using PyShark for enhanced protocol support.
+
+Key Features:
+- Uses Wireshark dissectors for comprehensive protocol decoding
+- Supports custom Lua dissectors automatically
+- Provides Wireshark display filter support
+- Can decode any protocol that Wireshark understands
+
+Requirements:
+- pip install pyshark
+- Wireshark/tshark must be installed on the system
+
+Usage:
+    ./airstream_pyshark.py -p capture.pcap
+    ./airstream_pyshark.py -i eth0 -c 100
+    ./airstream_pyshark.py -p capture.pcap --filter "tcp.port==80"
+"""
+
+import argparse
+import sys
+from typing import List
+
+try:
+    import pyshark
+except ImportError:
+    print("Error: pyshark not installed. Run: pip install pyshark")
+    sys.exit(1)
+
+from pyshark_poc.analyzer import PySharkAnalyzer
+from pyshark_poc.stats import STATS_TYPES
+
+
+def get_interfaces():
+    """Get list of available network interfaces."""
+    try:
+        # PyShark doesn't provide interface listing directly
+        # Use tshark command
+        import subprocess
+        result = subprocess.run(['tshark', '-D'], capture_output=True, text=True)
+        if result.returncode == 0:
+            interfaces = []
+            for line in result.stdout.strip().split('\n'):
+                # Parse lines like "1. eth0"
+                parts = line.split('. ', 1)
+                if len(parts) == 2:
+                    interfaces.append(parts[1].split(' ')[0])
+            return interfaces
+    except:
+        pass
+    return ["Unable to list interfaces - tshark may not be installed"]
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Airstream PyShark - Enhanced packet flow analyzer with Wireshark dissector support",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  Analyze PCAP file:
+    %(prog)s -p capture.pcap
+  
+  Live capture with filter:
+    %(prog)s -i eth0 -c 1000 --filter "tcp.port==443"
+  
+  Use BPF filter for capture:
+    %(prog)s -i eth0 --bpf "port 80 or port 443"
+  
+  Export to CSV:
+    %(prog)s -p capture.pcap -o results.csv
+
+PyShark Advantages:
+  - Full Wireshark protocol decoding
+  - Custom Lua dissector support
+  - Advanced display filters
+  - Automatic field extraction
+        """
+    )
+    
+    # Input sources
+    input_group = parser.add_mutually_exclusive_group()
+    input_group.add_argument('-p', '--pcap', help='PCAP file to analyze')
+    input_group.add_argument('-i', '--interface', help='Network interface for live capture')
+    
+    # Capture options
+    parser.add_argument('-c', '--count', type=int, default=100,
+                       help='Number of packets to capture (default: 100)')
+    
+    # Filtering options
+    parser.add_argument('--filter', '--display-filter', dest='display_filter',
+                       help='Wireshark display filter (e.g., "tcp.port==80")')
+    parser.add_argument('--bpf', '--bpf-filter', dest='bpf_filter',
+                       help='BPF capture filter for live capture (e.g., "port 80")')
+    
+    # Output options
+    parser.add_argument('-o', '--output', help='CSV output file')
+    
+    # Statistics options
+    parser.add_argument('-s', '--stats', nargs='+', 
+                       choices=list(STATS_TYPES.keys()) + ['all'],
+                       default=['overview'],
+                       help='Statistics types to use (default: overview)')
+    
+    # Utility options
+    parser.add_argument('-l', '--list-interfaces', action='store_true',
+                       help='List available network interfaces')
+    parser.add_argument('-v', '--verbose', action='store_true',
+                       help='Verbose output')
+    
+    args = parser.parse_args()
+    
+    # Handle interface listing
+    if args.list_interfaces:
+        print("Available interfaces:")
+        for iface in get_interfaces():
+            print(f"  {iface}")
+        return
+    
+    # Validate input
+    if not (args.pcap or args.interface):
+        parser.error("Specify either --pcap or --interface")
+    
+    # Handle statistics selection
+    if 'all' in args.stats:
+        selected_stats = list(STATS_TYPES.keys())
+        stats_classes = list(STATS_TYPES.values())
+    else:
+        selected_stats = args.stats
+        stats_classes = [STATS_TYPES[s] for s in args.stats]
+    
+    print(f"Using stats: {', '.join(selected_stats)}")
+    
+    # Create analyzer
+    analyzer = PySharkAnalyzer(stats_classes)
+    
+    try:
+        # Perform analysis
+        if args.pcap:
+            analyzer.analyze_pcap(args.pcap, display_filter=args.display_filter)
+        else:
+            analyzer.analyze_live(
+                args.interface, 
+                args.count,
+                display_filter=args.display_filter,
+                bpf_filter=args.bpf_filter
+            )
+        
+        # Print results
+        analyzer.print_summary()
+        
+        # Show protocol distribution if verbose
+        if args.verbose:
+            print("\nProtocol distribution:")
+            protocol_summary = analyzer.get_protocol_summary()
+            if not protocol_summary.empty:
+                print(protocol_summary.to_string(index=False))
+        
+        # Save to CSV if requested
+        if args.output:
+            df = analyzer.summary()
+            df.to_csv(args.output, index=False)
+            print(f"\nSaved results to: {args.output}")
+    
+    except KeyboardInterrupt:
+        print("\nInterrupted by user")
+    except Exception as e:
+        print(f"Error: {e}")
+        if args.verbose:
+            import traceback
+            traceback.print_exc()
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()
--- a/core/init.py
+++ b/core/init.py
@@ -0,0 +1,5 @@
+from core.analyzer import PacketFlowAnalyzer
+from core.models import FlowKey
+from core.stats import MultiStats
+
+__all__ = ['PacketFlowAnalyzer', 'FlowKey', 'MultiStats']
--- a/core/pycache/init.cpython-313.pyc
+++ b/core/pycache/init.cpython-313.pyc
--- a/core/pycache/analyzer.cpython-313.pyc
+++ b/core/pycache/analyzer.cpython-313.pyc
--- a/core/pycache/models.cpython-313.pyc
+++ b/core/pycache/models.cpython-313.pyc
--- a/core/pycache/stats.cpython-313.pyc
+++ b/core/pycache/stats.cpython-313.pyc
--- a/core/analyzer.py
+++ b/core/analyzer.py
@@ -0,0 +1,72 @@
+from collections import defaultdict
+from typing import Optional, List, Type
+
+import pandas as pd
+from scapy.all import PcapReader, IP, TCP, UDP, sniff
+from tabulate import tabulate
+
+from frametypes import FrameTypeInterface, FRAME_TYPES
+from core.models import FlowKey
+from core.stats import MultiStats
+
+
+class PacketFlowAnalyzer:
+    def __init__(self, stats_classes: List[Type[FrameTypeInterface]] = None):
+        if stats_classes is None:
+            stats_classes = [FRAME_TYPES['overview']]
+        self.stats_classes = stats_classes
+        self.flows = defaultdict(lambda: MultiStats(stats_classes))
+    
+    def _get_flow_key(self, pkt) -> Optional[FlowKey]:
+        if not pkt.haslayer(IP):
+            return None
+        
+        ip = pkt[IP]
+        if pkt.haslayer(TCP):
+            return FlowKey(ip.src, pkt[TCP].sport, ip.dst, pkt[TCP].dport, "TCP")
+        elif pkt.haslayer(UDP):
+            return FlowKey(ip.src, pkt[UDP].sport, ip.dst, pkt[UDP].dport, "UDP")
+        else:
+            return FlowKey(ip.src, 0, ip.dst, 0, str(ip.proto))
+    
+    def _process(self, pkt):
+        key = self._get_flow_key(pkt)
+        if key:
+            self.flows[key].add(float(pkt.time), len(pkt), pkt)
+    
+    def analyze_pcap(self, file: str):
+        print(f"Analyzing: {file}")
+        for pkt in PcapReader(file):
+            self._process(pkt)
+        print(f"Found {len(self.flows)} flows")
+    
+    def analyze_live(self, iface: str, count: int = 100):
+        print(f"Capturing {count} packets on {iface}")
+        sniff(iface=iface, prn=self._process, count=count)
+        print(f"Found {len(self.flows)} flows")
+    
+    def summary(self) -> pd.DataFrame:
+        rows = []
+        for k, multi_stats in self.flows.items():
+            row = {
+                'Src IP': k.src_ip,
+                'Src Port': k.src_port,
+                'Dst IP': k.dst_ip,
+                'Dst Port': k.dst_port,
+                'Proto': k.protocol
+            }
+            if k.extended_type:
+                row['Type'] = k.extended_type
+            row.update(multi_stats.get_combined_summary())
+            rows.append(row)
+        return pd.DataFrame(rows)
+    
+    def print_summary(self):
+        df = self.summary()
+        if df.empty:
+            print("No flows detected")
+            return
+        
+        print(f"\n{len(df)} flows:")
+        print(tabulate(df, headers='keys', tablefmt='plain', showindex=False))
+        print(f"\nTotals: {df['Pkts'].sum()} packets, {df['Bytes'].sum()} bytes")
--- a/core/models.py
+++ b/core/models.py
@@ -0,0 +1,12 @@
+from dataclasses import dataclass
+from typing import Optional
+
+
+@dataclass(frozen=True)
+class FlowKey:
+    src_ip: str
+    src_port: int
+    dst_ip: str
+    dst_port: int
+    protocol: str
+    extended_type: Optional[str] = None  # For extended frame types like IENA, Chapter 10, etc.
--- a/core/stats.py
+++ b/core/stats.py
@@ -0,0 +1,31 @@
+from typing import Dict, List, Any, Type
+
+from scapy.all import Packet
+
+from frametypes import FrameTypeInterface
+
+
+class MultiStats:
+    """Container for multiple stats instances."""
+    def __init__(self, stats_classes: List[Type[FrameTypeInterface]]):
+        self.stats_instances = [cls() for cls in stats_classes]
+        self.stats_classes = stats_classes
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        for stats in self.stats_instances:
+            stats.add(timestamp, size, packet)
+    
+    def get_combined_summary(self) -> Dict[str, Any]:
+        """Combine summaries from all stats instances."""
+        combined = {}
+        for i, stats in enumerate(self.stats_instances):
+            summary = stats.get_summary_dict()
+            class_name = self.stats_classes[i].__name__.replace('Stats', '')
+            # Add prefix to avoid column name conflicts
+            for key, value in summary.items():
+                if key in ['Pkts', 'Bytes', 'Duration']:  # Common columns
+                    if i == 0:  # Only include once
+                        combined[key] = value
+                else:
+                    combined[f"{class_name}:{key}"] = value
+        return combined
--- a/frametypes/init.py
+++ b/frametypes/init.py
@@ -0,0 +1,44 @@
+"""Frame type implementations for packet analysis."""
+
+from .base import FrameTypeInterface
+from .overview import Overview
+from .chapter10 import Chapter10Stats
+from .ch10_analog import Ch10AnalogStats
+from .ch10_tmats import Ch10TMATSStats
+from .ch10_pcm import Ch10PCMStats
+from .ch10_time import Ch10TimeStats
+from .iena import IENAStats
+from .ptp import PTPStats
+from .ptp_sync import PTPSyncStats
+from .ptp_announce import PTPAnnounceStats
+from .ptp_delay import PTPDelayStats
+
+__all__ = [
+    'FrameTypeInterface',
+    'Overview',
+    'Chapter10Stats',
+    'Ch10AnalogStats',
+    'Ch10TMATSStats',
+    'Ch10PCMStats',
+    'Ch10TimeStats',
+    'IENAStats',
+    'PTPStats',
+    'PTPSyncStats',
+    'PTPAnnounceStats',
+    'PTPDelayStats',
+]
+
+# Registry of available frame type classes
+FRAME_TYPES = {
+    'overview': Overview,
+    'chapter10': Chapter10Stats,
+    'ch10-analog': Ch10AnalogStats,
+    'ch10-tmats': Ch10TMATSStats,
+    'ch10-pcm': Ch10PCMStats,
+    'ch10-time': Ch10TimeStats,
+    'iena': IENAStats,
+    'ptp': PTPStats,
+    'ptp-sync': PTPSyncStats,
+    'ptp-announce': PTPAnnounceStats,
+    'ptp-delay': PTPDelayStats
+}
--- a/frametypes/pycache/init.cpython-313.pyc
+++ b/frametypes/pycache/init.cpython-313.pyc
--- a/frametypes/pycache/base.cpython-313.pyc
+++ b/frametypes/pycache/base.cpython-313.pyc
--- a/frametypes/pycache/ch10_analog.cpython-313.pyc
+++ b/frametypes/pycache/ch10_analog.cpython-313.pyc
--- a/frametypes/pycache/ch10_pcm.cpython-313.pyc
+++ b/frametypes/pycache/ch10_pcm.cpython-313.pyc
--- a/frametypes/pycache/ch10_time.cpython-313.pyc
+++ b/frametypes/pycache/ch10_time.cpython-313.pyc
--- a/frametypes/pycache/ch10_tmats.cpython-313.pyc
+++ b/frametypes/pycache/ch10_tmats.cpython-313.pyc
--- a/frametypes/pycache/chapter10.cpython-313.pyc
+++ b/frametypes/pycache/chapter10.cpython-313.pyc
--- a/frametypes/pycache/iena.cpython-313.pyc
+++ b/frametypes/pycache/iena.cpython-313.pyc
--- a/frametypes/pycache/overview.cpython-313.pyc
+++ b/frametypes/pycache/overview.cpython-313.pyc
--- a/frametypes/pycache/ptp.cpython-313.pyc
+++ b/frametypes/pycache/ptp.cpython-313.pyc
--- a/frametypes/pycache/ptp_announce.cpython-313.pyc
+++ b/frametypes/pycache/ptp_announce.cpython-313.pyc
--- a/frametypes/pycache/ptp_delay.cpython-313.pyc
+++ b/frametypes/pycache/ptp_delay.cpython-313.pyc
--- a/frametypes/pycache/ptp_sync.cpython-313.pyc
+++ b/frametypes/pycache/ptp_sync.cpython-313.pyc
--- a/frametypes/base.py
+++ b/frametypes/base.py
@@ -0,0 +1,29 @@
+from abc import ABC, abstractmethod
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+
+class FrameTypeInterface(ABC):
+    def __init__(self):
+        self.name: str = ""
+        self.frames_list = []
+        self.bytes = 0
+
+    def get_name(self):
+        """Return the interface's name"""
+        return self.name
+
+    @abstractmethod
+    def add(self, timestamp: float, size: int, packet: Packet):
+        """Add a packet to the statistics."""
+        pass
+    
+    @abstractmethod
+    def get_summary_dict(self) -> Dict[str, Any]:
+        """Return a dictionary of statistics for the tabular report."""
+        pass
+    
+    @abstractmethod
+    def get_column_definitions(self) -> List[tuple]:
+        """Return column definitions as [(column_name, format_spec), ...]"""
+        pass
--- a/frametypes/ch10_analog.py
+++ b/frametypes/ch10_analog.py
@@ -0,0 +1,56 @@
+from collections import defaultdict
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class Ch10AnalogStats(FrameTypeInterface):
+    """Chapter 10 Analog Data Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "Chapter 10 Analog"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.channel_ids = set()
+        self.sample_counts = defaultdict(int)
+        self.data_gaps = 0
+        self.overrange_count = 0
+        self.underrange_count = 0
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # In real implementation, decode Ch10 analog headers
+        # Extract channel ID, sample count, check for over/underrange
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        return {
+            'Pkts': self.count,
+            'Bytes': self.bytes,
+            'Duration': round(duration, 3),
+            'Channels': len(self.channel_ids),
+            'Data Gaps': self.data_gaps,
+            'Overrange': self.overrange_count,
+            'Underrange': self.underrange_count,
+            'Pkt/s': round(self.count / duration, 1) if duration > 0 else 0
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Bytes', 'd'),
+            ('Duration', '.3f'),
+            ('Channels', 'd'),
+            ('Data Gaps', 'd'),
+            ('Overrange', 'd'),
+            ('Underrange', 'd'),
+            ('Pkt/s', '.1f')
+        ]
--- a/frametypes/ch10_pcm.py
+++ b/frametypes/ch10_pcm.py
@@ -0,0 +1,54 @@
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class Ch10PCMStats(FrameTypeInterface):
+    """Chapter 10 PCM (Pulse Code Modulation) Data Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "Chapter 10 PCM"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.channel_ids = set()
+        self.frame_sync_errors = 0
+        self.bit_slip_events = 0
+        self.minor_frame_count = 0
+        self.major_frame_count = 0
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # In real implementation, decode PCM frame structure
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        return {
+            'Pkts': self.count,
+            'Bytes': self.bytes,
+            'Duration': round(duration, 3),
+            'Channels': len(self.channel_ids),
+            'Sync Errors': self.frame_sync_errors,
+            'Bit Slips': self.bit_slip_events,
+            'Minor Frames': self.minor_frame_count,
+            'Major Frames': self.major_frame_count
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Bytes', 'd'),
+            ('Duration', '.3f'),
+            ('Channels', 'd'),
+            ('Sync Errors', 'd'),
+            ('Bit Slips', 'd'),
+            ('Minor Frames', 'd'),
+            ('Major Frames', 'd')
+        ]
--- a/frametypes/ch10_time.py
+++ b/frametypes/ch10_time.py
@@ -0,0 +1,52 @@
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class Ch10TimeStats(FrameTypeInterface):
+    """Chapter 10 Time Data Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "Chapter 10 Time"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.time_sources = set()
+        self.time_format_changes = 0
+        self.leap_second_events = 0
+        self.time_discontinuities = 0
+        self.max_time_delta = 0
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # In real implementation, decode time packets
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        return {
+            'Pkts': self.count,
+            'Bytes': self.bytes,
+            'Time Sources': len(self.time_sources),
+            'Format Changes': self.time_format_changes,
+            'Leap Seconds': self.leap_second_events,
+            'Discontinuities': self.time_discontinuities,
+            'Max Delta': round(self.max_time_delta, 6)
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Bytes', 'd'),
+            ('Time Sources', 'd'),
+            ('Format Changes', 'd'),
+            ('Leap Seconds', 'd'),
+            ('Discontinuities', 'd'),
+            ('Max Delta', '.6f')
+        ]
--- a/frametypes/ch10_tmats.py
+++ b/frametypes/ch10_tmats.py
@@ -0,0 +1,52 @@
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class Ch10TMATSStats(FrameTypeInterface):
+    """Chapter 10 TMATS (Telemetry Attributes Transfer Standard) Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "Chapter 10 TMATS"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.tmats_versions = set()
+        self.configuration_changes = 0
+        self.g_records = 0  # Data source records
+        self.r_records = 0  # Tape/storage records
+        self.m_records = 0  # Multiplexing/modulation records
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # In real implementation, parse TMATS records
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        return {
+            'Pkts': self.count,
+            'Bytes': self.bytes,
+            'Versions': len(self.tmats_versions),
+            'Config Changes': self.configuration_changes,
+            'G-Records': self.g_records,
+            'R-Records': self.r_records,
+            'M-Records': self.m_records
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Bytes', 'd'),
+            ('Versions', 'd'),
+            ('Config Changes', 'd'),
+            ('G-Records', 'd'),
+            ('R-Records', 'd'),
+            ('M-Records', 'd')
+        ]
--- a/frametypes/chapter10.py
+++ b/frametypes/chapter10.py
@@ -0,0 +1,57 @@
+from collections import defaultdict
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class Chapter10Stats(FrameTypeInterface):
+    """General Chapter 10 Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "Chapter 10"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.channel_ids = set()
+        self.data_types = defaultdict(int)
+        self.sequence_errors = 0
+        self.last_sequence = {}
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # Simulate Chapter 10 specific processing
+        # In real implementation, decode Chapter 10 headers
+        if packet:
+            # Example: extract channel ID and data type from payload
+            # channel_id = extract_channel_id(packet)
+            # data_type = extract_data_type(packet)
+            # sequence = extract_sequence_number(packet)
+            pass
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        return {
+            'Pkts': self.count,
+            'Bytes': self.bytes,
+            'Duration': round(duration, 3),
+            'Channels': len(self.channel_ids),
+            'Seq Errors': self.sequence_errors,
+            'Pkt/s': round(self.count / duration, 1) if duration > 0 else 0
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Bytes', 'd'),
+            ('Duration', '.3f'),
+            ('Channels', 'd'),
+            ('Seq Errors', 'd'),
+            ('Pkt/s', '.1f')
+        ]
--- a/frametypes/iena.py
+++ b/frametypes/iena.py
@@ -0,0 +1,53 @@
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class IENAStats(FrameTypeInterface):
+    """IENA Protocol Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "IENA"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.key_fields = set()
+        self.sequence_gaps = 0
+        self.last_sequence = None
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # Simulate IENA specific processing
+        if packet:
+            # Example: extract IENA key field and sequence
+            # key_field = extract_iena_key(packet)
+            # sequence = extract_iena_sequence(packet)
+            pass
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        return {
+            'Pkts': self.count,
+            'Bytes': self.bytes,
+            'Duration': round(duration, 3),
+            'Key Fields': len(self.key_fields),
+            'Seq Gaps': self.sequence_gaps,
+            'Pkt/s': round(self.count / duration, 1) if duration > 0 else 0
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Bytes', 'd'),
+            ('Duration', '.3f'),
+            ('Key Fields', 'd'),
+            ('Seq Gaps', 'd'),
+            ('Pkt/s', '.1f')
+        ]
--- a/frametypes/overview.py
+++ b/frametypes/overview.py
@@ -0,0 +1,64 @@
+import statistics
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class Overview(FrameTypeInterface):
+    def __init__(self):
+        self.name = "Overview"
+        self.count = 0
+        self.first_time = None
+        self.last_time = None
+        self.Tdeltas = []
+        self.bytes = 0
+        self.frames_list = []
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        self.frames_list.append(packet)
+
+        if self.first_time is None:
+            self.first_time = timestamp
+        else:
+            self.Tdeltas.append(timestamp - self.last_time)
+        self.last_time = timestamp
+    
+    @property
+    def duration(self): return (self.last_time or 0) - (self.first_time or 0)
+    @property
+    def avg_size(self): return self.bytes / self.count if self.count else 0
+    @property
+    def avg_delta(self): return statistics.mean(self.Tdeltas) if self.Tdeltas else 0
+    @property
+    def std_delta(self): return statistics.stdev(self.Tdeltas) if len(self.Tdeltas) > 1 else 0
+    @property
+    def pkt_rate(self): return self.count / self.duration if self.duration > 0 else 0
+    @property
+    def byte_rate(self): return self.bytes / self.duration if self.duration > 0 else 0
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        return {
+            'Pkts': self.count,
+            'Bytes': self.bytes,
+            'Duration': round(self.duration, 3),
+            'Avg Size': round(self.avg_size, 1),
+            'Avg TimeΔ': round(self.avg_delta, 6),
+            'Time 1σ': round(self.std_delta, 6),
+            'Pkt/s': round(self.pkt_rate, 1),
+            'B/s': round(self.byte_rate, 1)
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Bytes', 'd'),
+            ('Duration', '.3f'),
+            ('Avg Size', '.1f'),
+            ('Avg Delta', '.6f'),
+            ('Std Delta', '.6f'),
+            ('Pkt/s', '.1f'),
+            ('B/s', '.1f')
+        ]
--- a/frametypes/ptp.py
+++ b/frametypes/ptp.py
@@ -0,0 +1,56 @@
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class PTPStats(FrameTypeInterface):
+    """General PTP Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "PTP"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.sync_messages = 0
+        self.follow_up_messages = 0
+        self.delay_req_messages = 0
+        self.delay_resp_messages = 0
+        self.announce_messages = 0
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # Simulate PTP message type counting
+        if packet:
+            # Example: decode PTP message type
+            # msg_type = extract_ptp_message_type(packet)
+            pass
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        return {
+            'Pkts': self.count,
+            'Duration': round(duration, 3),
+            'Sync': self.sync_messages,
+            'Follow Up': self.follow_up_messages,
+            'Delay Req': self.delay_req_messages,
+            'Delay Resp': self.delay_resp_messages,
+            'Announce': self.announce_messages
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Duration', '.3f'),
+            ('Sync', 'd'),
+            ('Follow Up', 'd'),
+            ('Delay Req', 'd'),
+            ('Delay Resp', 'd'),
+            ('Announce', 'd')
+        ]
--- a/frametypes/ptp_announce.py
+++ b/frametypes/ptp_announce.py
@@ -0,0 +1,51 @@
+from collections import defaultdict
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class PTPAnnounceStats(FrameTypeInterface):
+    """PTP Announce Message Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "PTP Announce"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.announce_count = 0
+        self.grandmaster_changes = 0
+        self.priority_changes = 0
+        self.grandmaster_ids = set()
+        self.clock_classes = defaultdict(int)
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # In real implementation, decode PTP announce messages
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        return {
+            'Pkts': self.count,
+            'Announce': self.announce_count,
+            'GM Changes': self.grandmaster_changes,
+            'Priority Changes': self.priority_changes,
+            'Grandmasters': len(self.grandmaster_ids),
+            'Clock Classes': len(self.clock_classes)
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Announce', 'd'),
+            ('GM Changes', 'd'),
+            ('Priority Changes', 'd'),
+            ('Grandmasters', 'd'),
+            ('Clock Classes', 'd')
+        ]
--- a/frametypes/ptp_delay.py
+++ b/frametypes/ptp_delay.py
@@ -0,0 +1,53 @@
+import statistics
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class PTPDelayStats(FrameTypeInterface):
+    """PTP Delay Request/Response Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "PTP Delay"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.delay_req_count = 0
+        self.delay_resp_count = 0
+        self.pdelay_req_count = 0
+        self.pdelay_resp_count = 0
+        self.round_trip_times = []
+        self.asymmetry_values = []
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        self.last_time = timestamp
+        
+        # In real implementation, match delay requests with responses
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        avg_rtt = statistics.mean(self.round_trip_times) if self.round_trip_times else 0
+        return {
+            'Pkts': self.count,
+            'Delay Req': self.delay_req_count,
+            'Delay Resp': self.delay_resp_count,
+            'PDelay Req': self.pdelay_req_count,
+            'PDelay Resp': self.pdelay_resp_count,
+            'Avg RTT': round(avg_rtt * 1000, 3)  # Convert to ms
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Delay Req', 'd'),
+            ('Delay Resp', 'd'),
+            ('PDelay Req', 'd'),
+            ('PDelay Resp', 'd'),
+            ('Avg RTT', '.3f')
+        ]
--- a/frametypes/ptp_sync.py
+++ b/frametypes/ptp_sync.py
@@ -0,0 +1,58 @@
+import statistics
+from typing import Dict, List, Any
+from scapy.all import Packet
+
+from .base import FrameTypeInterface
+
+
+class PTPSyncStats(FrameTypeInterface):
+    """PTP Sync Message Statistics"""
+    def __init__(self):
+        super().__init__()
+        self.name = "PTP Sync"
+        self.count = 0
+        self.bytes = 0
+        self.first_time = None
+        self.last_time = None
+        self.sync_count = 0
+        self.follow_up_count = 0
+        self.two_step_count = 0
+        self.one_step_count = 0
+        self.sync_intervals = []
+        self.clock_ids = set()
+    
+    def add(self, timestamp: float, size: int, packet: Packet):
+        self.count += 1
+        self.bytes += size
+        if self.first_time is None:
+            self.first_time = timestamp
+        else:
+            if self.last_time and self.sync_count > 0:
+                self.sync_intervals.append(timestamp - self.last_time)
+        self.last_time = timestamp
+        
+        # In real implementation, decode PTP sync messages
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        duration = (self.last_time or 0) - (self.first_time or 0)
+        avg_interval = statistics.mean(self.sync_intervals) if self.sync_intervals else 0
+        return {
+            'Pkts': self.count,
+            'Sync Msgs': self.sync_count,
+            'Follow-ups': self.follow_up_count,
+            'Two-step': self.two_step_count,
+            'One-step': self.one_step_count,
+            'Clock IDs': len(self.clock_ids),
+            'Avg Interval': round(avg_interval, 6)
+        }
+    
+    def get_column_definitions(self) -> List[tuple]:
+        return [
+            ('Pkts', 'd'),
+            ('Sync Msgs', 'd'),
+            ('Follow-ups', 'd'),
+            ('Two-step', 'd'),
+            ('One-step', 'd'),
+            ('Clock IDs', 'd'),
+            ('Avg Interval', '.6f')
+        ]
--- a/lua_dissectors/README.md
+++ b/lua_dissectors/README.md
@@ -0,0 +1,64 @@
+# Lua Dissectors for Airstream PyShark
+
+This directory contains example Lua dissectors that can be used with Wireshark/tshark to decode custom protocols in PyShark.
+
+## Installation
+
+1. Copy the Lua dissector files to your Wireshark plugins directory:
+   - **Linux/Mac**: `~/.local/lib/wireshark/plugins/` or `~/.config/wireshark/plugins/`
+   - **Windows**: `%APPDATA%\Wireshark\plugins\`
+
+2. Restart Wireshark/tshark or reload Lua plugins (Ctrl+Shift+L in Wireshark)
+
+3. The dissectors will automatically be available to PyShark
+
+## Example Custom Protocol Dissector
+
+The `example_custom_protocol.lua` demonstrates:
+- Creating a custom protocol dissector
+- Defining protocol fields
+- Parsing packet structure
+- Registering for specific UDP ports
+- Heuristic dissection
+
+## Using with PyShark
+
+Once installed, PyShark will automatically use these dissectors:
+
+```python
+import pyshark
+
+# Capture with custom dissector
+capture = pyshark.FileCapture('capture.pcap')
+for packet in capture:
+    if hasattr(packet, 'custom'):
+        print(f"Custom packet: {packet.custom.msg_type}")
+```
+
+## Creating Your Own Dissectors
+
+1. Copy `example_custom_protocol.lua` as a template
+2. Modify the protocol name, fields, and parsing logic
+3. Register for appropriate ports or use heuristic detection
+4. Place in Wireshark plugins directory
+
+## Benefits for Airstream
+
+Custom Lua dissectors enable:
+- Decoding proprietary protocols (IENA, Chapter 10, etc.)
+- Adding metadata extraction
+- Protocol-specific statistics
+- Enhanced filtering capabilities
+
+## Testing Dissectors
+
+Test your dissector in Wireshark GUI first:
+1. Open a capture file
+2. Check if protocol appears in packet list
+3. Verify field extraction in packet details
+4. Use display filters like `custom.msg_type == 1`
+
+Then use with airstream_pyshark.py:
+```bash
+./airstream_pyshark.py -p capture.pcap --filter "custom"
+```
--- a/lua_dissectors/example_custom_protocol.lua
+++ b/lua_dissectors/example_custom_protocol.lua
@@ -0,0 +1,97 @@
+-- Example Custom Protocol Dissector for Wireshark/PyShark
+-- Place this file in your Wireshark plugins directory:
+--   Linux/Mac: ~/.local/lib/wireshark/plugins/ or ~/.wireshark/plugins/
+--   Windows: %APPDATA%\Wireshark\plugins\
+--
+-- This dissector will automatically be available to PyShark via tshark
+
+-- Create protocol
+local custom_proto = Proto("custom", "Custom Airstream Protocol")
+
+-- Define fields
+local fields = {
+    magic = ProtoField.uint32("custom.magic", "Magic Number", base.HEX),
+    version = ProtoField.uint8("custom.version", "Version", base.DEC),
+    msg_type = ProtoField.uint8("custom.msg_type", "Message Type", base.DEC, {
+        [1] = "Data",
+        [2] = "Control", 
+        [3] = "Status",
+        [4] = "Telemetry"
+    }),
+    length = ProtoField.uint16("custom.length", "Payload Length", base.DEC),
+    sequence = ProtoField.uint32("custom.sequence", "Sequence Number", base.DEC),
+    timestamp = ProtoField.uint64("custom.timestamp", "Timestamp", base.DEC),
+    payload = ProtoField.bytes("custom.payload", "Payload")
+}
+
+-- Add fields to protocol
+custom_proto.fields = fields
+
+-- Dissector function
+function custom_proto.dissector(buffer, pinfo, tree)
+    -- Validate minimum length
+    if buffer:len() < 20 then
+        return
+    end
+    
+    -- Check magic number (example: 0xABCD1234)
+    local magic = buffer(0,4):uint()
+    if magic ~= 0xABCD1234 then
+        return  -- Not our protocol
+    end
+    
+    -- Set protocol column in packet list
+    pinfo.cols.protocol:set("CUSTOM")
+    
+    -- Create subtree for our protocol
+    local subtree = tree:add(custom_proto, buffer(), "Custom Airstream Protocol")
+    
+    -- Add fields to tree
+    subtree:add(fields.magic, buffer(0,4))
+    subtree:add(fields.version, buffer(4,1))
+    
+    local msg_type = buffer(5,1):uint()
+    subtree:add(fields.msg_type, buffer(5,1))
+    
+    subtree:add(fields.length, buffer(6,2))
+    subtree:add(fields.sequence, buffer(8,4))
+    subtree:add(fields.timestamp, buffer(12,8))
+    
+    -- Add payload if present
+    local payload_len = buffer(6,2):uint()
+    if buffer:len() >= 20 + payload_len then
+        subtree:add(fields.payload, buffer(20, payload_len))
+    end
+    
+    -- Update info column with summary
+    local type_names = {[1]="Data", [2]="Control", [3]="Status", [4]="Telemetry"}
+    local type_name = type_names[msg_type] or "Unknown"
+    pinfo.cols.info:set(string.format("%s (Seq=%d, Len=%d)", 
+                                      type_name, 
+                                      buffer(8,4):uint(),
+                                      payload_len))
+end
+
+-- Register dissector for specific UDP port
+local udp_port = DissectorTable.get("udp.port")
+udp_port:add(9999, custom_proto)  -- Listen on UDP port 9999
+
+-- Also register as heuristic dissector for UDP
+local function heuristic_checker(buffer, pinfo, tree)
+    -- Check if this might be our protocol
+    if buffer:len() < 20 then
+        return false
+    end
+    
+    -- Check magic number
+    local magic = buffer(0,4):uint()
+    if magic == 0xABCD1234 then
+        custom_proto.dissector(buffer, pinfo, tree)
+        return true
+    end
+    
+    return false
+end
+
+-- Register heuristic dissector
+custom_proto:register_heuristic("udp", heuristic_checker)
--- a/pyshark_poc/README.md
+++ b/pyshark_poc/README.md
@@ -0,0 +1,146 @@
+# PyShark Proof of Concept for Airstream
+
+This is an alternative implementation of Airstream using PyShark instead of Scapy. PyShark leverages Wireshark's powerful dissector engine for comprehensive protocol support.
+
+## Key Advantages
+
+### 1. **Full Wireshark Protocol Support**
+- Automatically uses ALL installed Wireshark dissectors
+- Supports 2000+ protocols out of the box
+- Better decoding for complex protocols (PTP, IENA, Chapter 10)
+
+### 2. **Custom Dissector Support**
+- Any Lua dissector installed in Wireshark works automatically
+- See `lua_dissectors/` for examples
+- No code changes needed to support new protocols
+
+### 3. **Advanced Filtering**
+- Full Wireshark display filter syntax
+- BPF capture filters for performance
+- Protocol-specific field access
+
+## Installation
+
+```bash
+# Install PyShark (requires tshark/Wireshark)
+pip install pyshark
+
+# On macOS
+brew install wireshark
+
+# On Ubuntu/Debian
+sudo apt-get install tshark
+
+# On RHEL/CentOS
+sudo yum install wireshark
+```
+
+## Usage
+
+```bash
+# Basic PCAP analysis
+./airstream_pyshark.py -p capture.pcap
+
+# Live capture with filter
+./airstream_pyshark.py -i eth0 -c 1000 --filter "tcp.port==443"
+
+# Use BPF filter for efficient capture
+./airstream_pyshark.py -i eth0 --bpf "port 80 or port 443"
+
+# Export results to CSV
+./airstream_pyshark.py -p capture.pcap -o results.csv
+
+# Use PTP-specific statistics
+./airstream_pyshark.py -p ptp_traffic.pcap -s ptp
+```
+
+## Architecture
+
+```
+airstream_pyshark.py         # Main entry point (CLI)
+pyshark_poc/
+├── __init__.py             # Package initialization
+├── analyzer.py             # PySharkAnalyzer class
+├── models.py               # Data models (FlowKey)
+├── stats.py                # Statistics classes
+└── README.md               # This file
+
+lua_dissectors/             # Custom Wireshark dissectors
+├── example_custom_protocol.lua
+└── README.md
+```
+
+## Performance Comparison
+
+| Aspect | Scapy | PyShark |
+|--------|-------|---------|
+| Packet Parsing Speed | Faster | Slower (XML overhead) |
+| Protocol Support | Limited | Comprehensive |
+| Custom Dissectors | Python only | Lua + C |
+| Memory Usage | Lower | Higher |
+| Dependencies | Python only | Requires tshark |
+
+## When to Use PyShark
+
+✅ **Use PyShark when:**
+- You need comprehensive protocol decoding
+- Working with proprietary protocols
+- Need Wireshark's advanced filtering
+- Protocol accuracy is critical
+
+❌ **Use Scapy when:**
+- Performance is critical
+- Need packet crafting/modification
+- Minimal dependencies required
+- Simple protocol analysis
+
+## Custom Protocol Support
+
+To add custom protocol support:
+
+1. Create a Lua dissector (see `lua_dissectors/example_custom_protocol.lua`)
+2. Install in Wireshark plugins directory
+3. PyShark automatically uses it
+
+Example accessing custom fields:
+```python
+# After installing custom dissector
+capture = pyshark.FileCapture('custom_protocol.pcap')
+for packet in capture:
+    if hasattr(packet, 'custom'):
+        print(f"Message type: {packet.custom.msg_type}")
+        print(f"Sequence: {packet.custom.sequence}")
+```
+
+## Limitations
+
+1. **Performance**: Slower than Scapy due to XML parsing overhead
+2. **Dependencies**: Requires Wireshark/tshark installation
+3. **Read-only**: Cannot modify or craft packets
+4. **Platform-specific**: tshark paths may vary
+
+## Future Enhancements
+
+- [ ] Parallel packet processing
+- [ ] Caching for improved performance
+- [ ] Integration with existing frametypes
+- [ ] Protocol-specific analyzers
+- [ ] Real-time streaming analysis
+- [ ] Custom field extractors
+
+## Testing
+
+```bash
+# Test with sample PCAP
+./airstream_pyshark.py -p "1 PTPGM.pcapng"
+
+# List available interfaces
+./airstream_pyshark.py -l
+
+# Verbose mode for debugging
+./airstream_pyshark.py -p capture.pcap -v
+```
+
+## Conclusion
+
+This PyShark implementation provides a powerful alternative when comprehensive protocol support is needed. While it trades performance for functionality, it enables analysis of complex protocols that would be difficult to implement in pure Python.
--- a/pyshark_poc/init.py
+++ b/pyshark_poc/init.py
@@ -0,0 +1,20 @@
+"""
+PyShark-based proof of concept for Airstream packet analyzer.
+
+This module provides an alternative implementation using PyShark
+to leverage Wireshark's dissector capabilities.
+"""
+
+from .analyzer import PySharkAnalyzer
+from .models import FlowKey
+from .stats import MultiStats, BaseStats, OverviewStats, PTPStats, STATS_TYPES
+
+__all__ = [
+    'PySharkAnalyzer',
+    'FlowKey', 
+    'MultiStats',
+    'BaseStats',
+    'OverviewStats',
+    'PTPStats',
+    'STATS_TYPES'
+]
--- a/pyshark_poc/pycache/init.cpython-313.pyc
+++ b/pyshark_poc/pycache/init.cpython-313.pyc
--- a/pyshark_poc/pycache/analyzer.cpython-313.pyc
+++ b/pyshark_poc/pycache/analyzer.cpython-313.pyc
--- a/pyshark_poc/pycache/models.cpython-313.pyc
+++ b/pyshark_poc/pycache/models.cpython-313.pyc
--- a/pyshark_poc/pycache/stats.cpython-313.pyc
+++ b/pyshark_poc/pycache/stats.cpython-313.pyc
--- a/pyshark_poc/analyzer.py
+++ b/pyshark_poc/analyzer.py
@@ -0,0 +1,187 @@
+import pyshark
+from collections import defaultdict
+from typing import Optional, List, Type, Union
+import pandas as pd
+from tabulate import tabulate
+
+from .models import FlowKey
+from .stats import MultiStats, BaseStats, STATS_TYPES
+
+
+class PySharkAnalyzer:
+    """Packet flow analyzer using PyShark for Wireshark dissector support."""
+    
+    def __init__(self, stats_classes: Optional[List[Type[BaseStats]]] = None):
+        if stats_classes is None:
+            stats_classes = [STATS_TYPES['overview']]
+        self.stats_classes = stats_classes
+        self.flows = defaultdict(lambda: MultiStats(stats_classes))
+        self.packet_count = 0
+    
+    def _get_flow_key(self, packet) -> Optional[FlowKey]:
+        """Extract flow key from PyShark packet."""
+        try:
+            # Check for IP layer
+            if not hasattr(packet, 'ip'):
+                return None
+            
+            src_ip = packet.ip.src
+            dst_ip = packet.ip.dst
+            protocol = packet.transport_layer if hasattr(packet, 'transport_layer') else 'IP'
+            
+            # Get ports based on protocol
+            src_port = 0
+            dst_port = 0
+            
+            if hasattr(packet, 'tcp'):
+                src_port = int(packet.tcp.srcport)
+                dst_port = int(packet.tcp.dstport)
+                protocol = 'TCP'
+            elif hasattr(packet, 'udp'):
+                src_port = int(packet.udp.srcport)
+                dst_port = int(packet.udp.dstport)
+                protocol = 'UDP'
+            
+            # Check for extended protocol types
+            extended_type = None
+            if hasattr(packet, 'ptp'):
+                extended_type = 'PTP'
+            # Add more protocol detection here as needed
+            
+            return FlowKey(src_ip, src_port, dst_ip, dst_port, protocol, extended_type)
+            
+        except AttributeError:
+            return None
+    
+    def _process_packet(self, packet):
+        """Process a single packet."""
+        key = self._get_flow_key(packet)
+        if key:
+            # Get timestamp and size
+            timestamp = float(packet.sniff_timestamp) if hasattr(packet, 'sniff_timestamp') else 0
+            size = int(packet.length) if hasattr(packet, 'length') else 0
+            
+            self.flows[key].add(timestamp, size, packet)
+            self.packet_count += 1
+    
+    def analyze_pcap(self, file: str, display_filter: Optional[str] = None):
+        """Analyze packets from a PCAP file."""
+        print(f"Analyzing: {file}")
+        if display_filter:
+            print(f"Filter: {display_filter}")
+        
+        try:
+            # Use FileCapture for PCAP files
+            capture = pyshark.FileCapture(
+                file, 
+                display_filter=display_filter,
+                use_json=True,  # Use JSON output for better performance
+                include_raw=False  # Don't include raw packet data
+            )
+            
+            # Process packets
+            for packet in capture:
+                self._process_packet(packet)
+                # Show progress every 1000 packets
+                if self.packet_count % 1000 == 0:
+                    print(f"  Processed {self.packet_count} packets...")
+            
+            capture.close()
+            print(f"Found {len(self.flows)} flows from {self.packet_count} packets")
+            
+        except Exception as e:
+            print(f"Error analyzing PCAP: {e}")
+    
+    def analyze_live(self, interface: str, count: int = 100, 
+                    display_filter: Optional[str] = None, 
+                    bpf_filter: Optional[str] = None):
+        """Capture and analyze packets from a live interface."""
+        print(f"Capturing {count} packets on {interface}")
+        if display_filter:
+            print(f"Display filter: {display_filter}")
+        if bpf_filter:
+            print(f"BPF filter: {bpf_filter}")
+        
+        try:
+            # Use LiveCapture for live capture
+            capture = pyshark.LiveCapture(
+                interface=interface,
+                display_filter=display_filter,
+                bpf_filter=bpf_filter,
+                use_json=True,
+                include_raw=False
+            )
+            
+            # Capture packets
+            capture.sniff(packet_count=count)
+            
+            # Process captured packets
+            for packet in capture:
+                self._process_packet(packet)
+            
+            capture.close()
+            print(f"Found {len(self.flows)} flows from {self.packet_count} packets")
+            
+        except Exception as e:
+            print(f"Error during live capture: {e}")
+    
+    def summary(self) -> pd.DataFrame:
+        """Generate summary DataFrame of all flows."""
+        rows = []
+        for key, multi_stats in self.flows.items():
+            row = {
+                'Src IP': key.src_ip,
+                'Src Port': key.src_port,
+                'Dst IP': key.dst_ip,
+                'Dst Port': key.dst_port,
+                'Proto': key.protocol
+            }
+            if key.extended_type:
+                row['Type'] = key.extended_type
+            row.update(multi_stats.get_combined_summary())
+            rows.append(row)
+        
+        # Sort by packet count descending
+        df = pd.DataFrame(rows)
+        if not df.empty and 'Pkts' in df.columns:
+            df = df.sort_values('Pkts', ascending=False)
+        return df
+    
+    def print_summary(self):
+        """Print formatted summary of flows."""
+        df = self.summary()
+        if df.empty:
+            print("No flows detected")
+            return
+        
+        print(f"\n{len(df)} flows:")
+        print(tabulate(df, headers='keys', tablefmt='plain', showindex=False))
+        
+        if 'Pkts' in df.columns and 'Bytes' in df.columns:
+            print(f"\nTotals: {df['Pkts'].sum()} packets, {df['Bytes'].sum()} bytes")
+    
+    def get_protocol_summary(self) -> pd.DataFrame:
+        """Get summary grouped by protocol."""
+        df = self.summary()
+        if df.empty:
+            return df
+        
+        # Group by protocol
+        protocol_summary = df.groupby('Proto').agg({
+            'Pkts': 'sum',
+            'Bytes': 'sum'
+        }).reset_index()
+        
+        return protocol_summary
+    
+    def apply_wireshark_filter(self, display_filter: str):
+        """
+        Apply a Wireshark display filter to the analysis.
+        This demonstrates PyShark's ability to use Wireshark's filtering.
+        """
+        filtered_flows = defaultdict(lambda: MultiStats(self.stats_classes))
+        
+        # This would require re-processing with the filter
+        # Shown here as an example of the capability
+        print(f"Note: To apply Wireshark filters, re-analyze with display_filter parameter")
+        return filtered_flows
--- a/pyshark_poc/models.py
+++ b/pyshark_poc/models.py
@@ -0,0 +1,13 @@
+from dataclasses import dataclass
+from typing import Optional
+
+
+@dataclass(frozen=True)
+class FlowKey:
+    """Flow identifier for network traffic analysis."""
+    src_ip: str
+    src_port: int
+    dst_ip: str
+    dst_port: int
+    protocol: str
+    extended_type: Optional[str] = None  # For extended frame types like IENA, Chapter 10, etc.
--- a/pyshark_poc/stats.py
+++ b/pyshark_poc/stats.py
@@ -0,0 +1,145 @@
+from typing import Dict, List, Any, Type, Optional
+import time
+
+
+class BaseStats:
+    """Base statistics class for packet flow analysis."""
+    
+    def __init__(self):
+        self.packet_count = 0
+        self.byte_count = 0
+        self.first_timestamp = None
+        self.last_timestamp = None
+        self.packet_sizes = []
+        self.inter_arrival_times = []
+        self.last_packet_time = None
+    
+    def add(self, timestamp: float, size: int, packet: Any):
+        """Add a packet to statistics."""
+        self.packet_count += 1
+        self.byte_count += size
+        self.packet_sizes.append(size)
+        
+        if self.first_timestamp is None:
+            self.first_timestamp = timestamp
+        self.last_timestamp = timestamp
+        
+        if self.last_packet_time is not None:
+            delta = timestamp - self.last_packet_time
+            self.inter_arrival_times.append(delta)
+        self.last_packet_time = timestamp
+        
+        # Call protocol-specific handler
+        self._process_packet(packet)
+    
+    def _process_packet(self, packet: Any):
+        """Override in subclasses for protocol-specific processing."""
+        pass
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        """Get summary statistics as dictionary."""
+        duration = (self.last_timestamp - self.first_timestamp) if self.first_timestamp and self.last_timestamp else 0
+        
+        summary = {
+            'Pkts': self.packet_count,
+            'Bytes': self.byte_count,
+            'Duration': round(duration, 3) if duration else 0,
+            'Avg Size': round(sum(self.packet_sizes) / len(self.packet_sizes), 1) if self.packet_sizes else 0,
+        }
+        
+        if self.inter_arrival_times:
+            avg_delta = sum(self.inter_arrival_times) / len(self.inter_arrival_times)
+            summary['Avg TimeΔ'] = round(avg_delta, 6)
+            
+            # Calculate standard deviation
+            if len(self.inter_arrival_times) > 1:
+                mean = avg_delta
+                variance = sum((x - mean) ** 2 for x in self.inter_arrival_times) / len(self.inter_arrival_times)
+                std_dev = variance ** 0.5
+                summary['Time 1σ'] = round(std_dev, 6)
+            else:
+                summary['Time 1σ'] = 0
+        else:
+            summary['Avg TimeΔ'] = 0
+            summary['Time 1σ'] = 0
+        
+        if duration > 0:
+            summary['Pkt/s'] = round(self.packet_count / duration, 1)
+            summary['B/s'] = round(self.byte_count / duration, 1)
+        else:
+            summary['Pkt/s'] = 0
+            summary['B/s'] = 0
+        
+        return summary
+
+
+class OverviewStats(BaseStats):
+    """Overview statistics for general packet analysis."""
+    pass
+
+
+class PTPStats(BaseStats):
+    """PTP-specific statistics."""
+    
+    def __init__(self):
+        super().__init__()
+        self.ptp_message_types = {}
+    
+    def _process_packet(self, packet: Any):
+        """Process PTP-specific packet information."""
+        # Check if packet has PTP layer
+        if hasattr(packet, 'ptp'):
+            try:
+                msg_type = packet.ptp.v2_messagetype if hasattr(packet.ptp, 'v2_messagetype') else 'unknown'
+                self.ptp_message_types[msg_type] = self.ptp_message_types.get(msg_type, 0) + 1
+            except:
+                pass
+    
+    def get_summary_dict(self) -> Dict[str, Any]:
+        summary = super().get_summary_dict()
+        # Add PTP-specific metrics
+        if self.ptp_message_types:
+            summary['PTP Types'] = str(self.ptp_message_types)
+        return summary
+
+
+class MultiStats:
+    """Container for multiple stats instances."""
+    
+    def __init__(self, stats_classes: Optional[List[Type[BaseStats]]] = None):
+        if stats_classes is None:
+            stats_classes = [OverviewStats]
+        self.stats_instances = [cls() for cls in stats_classes]
+        self.stats_classes = stats_classes
+    
+    def add(self, timestamp: float, size: int, packet: Any):
+        """Add packet to all stats instances."""
+        for stats in self.stats_instances:
+            stats.add(timestamp, size, packet)
+    
+    def get_combined_summary(self) -> Dict[str, Any]:
+        """Combine summaries from all stats instances."""
+        combined = {}
+        for i, stats in enumerate(self.stats_instances):
+            summary = stats.get_summary_dict()
+            class_name = self.stats_classes[i].__name__.replace('Stats', '')
+            
+            # Add prefix to avoid column name conflicts
+            for key, value in summary.items():
+                if key in ['Pkts', 'Bytes', 'Duration']:  # Common columns
+                    if i == 0:  # Only include once
+                        combined[key] = value
+                else:
+                    # Only add prefix if we have multiple stats classes
+                    if len(self.stats_classes) > 1:
+                        combined[f"{class_name}:{key}"] = value
+                    else:
+                        combined[key] = value
+        return combined
+
+
+# Stats registry for easy lookup
+STATS_TYPES = {
+    'overview': OverviewStats,
+    'ptp': PTPStats,
+}