This project focuses on building a digital forensics system that captures and analyzes network traffic to identify suspicious activities. The system helps investigators trace cyber incidents, detect intrusions, and analyze communication patterns within a network.
Study basic networking concepts, protocols, and packet structures relevant to forensic analysis.
Research common cyber-attacks and how malicious traffic appears in network logs.
Design a system to capture network packets using packet sniffing techniques.
Implement modules to filter traffic based on protocol, IP address, and port number.
Analyze captured packets to identify anomalies such as unusual traffic volume or unauthorized access attempts.
Store network logs securely with timestamps and source-destination details.
Visualize network traffic patterns using charts or graphs for easier interpretation.
Generate forensic reports highlighting suspicious connections and activity trends.
Test the system using controlled network environments and simulated attacks.
Document system limitations, ethical considerations, and possible improvements.
