G.O.D. Framework

Introduction

ai_crawling_network_data_sniffing.py is a vital component of the G.O.D. Framework, designed to capture network-based data in real-time for analysis. The script enables monitoring of local and remote network traffic, focusing on extracting useful patterns or actionable intelligence from sniffed data.

Purpose

• Real-Time Data Collection: Captures and processes live network traffic.
• Pattern Identification: Extracts insights such as anomalies, suspicious activity, or traffic trends.
• Network Intelligence: Enhances the broader framework by supplying real-time network data to other G.O.D. modules.
• Security Monitoring: Provides early detection and logging of potential security anomalies.

Key Features

• Packet Capture: Uses packet-sniffing techniques to quickly ingest network layer information.
• Protocol Filtering: Filters out unnecessary noise or irrelevant network protocols for focused analysis.
• Data Logging: Stores sniffed data in structured formats such as JSON or logs for further study.
• Live Monitoring: Allows real-time observation of incoming traffic.

Logic and Implementation

The ai_crawling_network_data_sniffing.py script systematically captures and processes network traffic. The core steps include:

1. Initialize a network sniffer using libraries such as scapy or socket.
2. Filter and monitor packets based on the configuration, e.g., specific IP ranges, traffic types, or ports.
3. Parse and structure captured packets by extracting metadata (source, destination, payload content).
4. Log or forward sniffed data to other G.O.D. modules for integration into the larger workflow.

            from scapy.all import sniff, IP

            class NetworkSniffer:
                def __init__(self, interface, packet_count=10):
                    """
                    Initialize the sniffer with a given network interface.
                    :param interface: The network interface to monitor (e.g., 'eth0').
                    :param packet_count: Number of packets to capture (default: 10).
                    """
                    self.interface = interface
                    self.packet_count = packet_count
                    self.captured_data = []

                def process_packet(self, packet):
                    """
                    Processes each packet and extracts relevant metadata.
                    :param packet: The sniffed network packet.
                    """
                    if IP in packet:
                        packet_info = {
                            "src_ip": packet[IP].src,
                            "dst_ip": packet[IP].dst,
                            "payload": str(packet[IP].payload)
                        }
                        self.captured_data.append(packet_info)
                        print(f"Packet Captured: {packet_info}")

                def start_sniffing(self):
                    """
                    Starts sniffing packets on the specified network interface.
                    """
                    print(f"Starting packet capture on {self.interface}...")
                    sniff(iface=self.interface, count=self.packet_count, prn=self.process_packet)
                    print("Sniffing completed.")
                    return self.captured_data

            if __name__ == "__main__":
                sniffer = NetworkSniffer(interface="eth0", packet_count=5)
                data = sniffer.start_sniffing()
                print("Captured Data:", data)
            

Dependencies

The script leverages the following robust libraries for network sniffing:

• scapy: For packet sniffing and protocol parsing.
• socket: Low-level functionality for accessing network layers (if required).

Ensure necessary permissions to access network interfaces (e.g., root permissions).

How to Use This Script

1. Install scapy using pip install scapy.
2. Specify the network interface to monitor (e.g., eth0, wlan0).
3. Execute the script to start collecting network traffic and save or analyze the sniffed packets.

            # Example usage
            sniffer = NetworkSniffer(interface="wlan0", packet_count=20)
            captured_data = sniffer.start_sniffing()
            print("Sniffed Packets:", captured_data)
            

Role in the G.O.D. Framework

• Data Insights: Feeds network data directly into analytical modules like ai_anomaly_detection.py.
• Security Monitoring: Sends suspicious traffic patterns to ai_security_anomaly_detector.py.
• Real-Time Updates: Contributes live packet data for dynamic system adjustments in distributed architectures.
• Data Pipeline Integration: Works alongside ai_automated_data_pipeline.py to enhance the overall pipeline.

Future Enhancements

• Deep Packet Inspection (DPI): Add capabilities to decode payloads for deep inspection of data content.
• Scalable Network Monitoring: Support distributed packet monitoring using multiple hosts.
• Protocol Integration: Enhance support for specific protocols like HTTP/2, TLS, or custom binary formats.