This project aims to design a real-time malware detection system that monitors network traffic to identify suspicious communication patterns. The system analyzes network packets and detects malware-related activities such as botnet communication or command-and-control server connections.
Study networking fundamentals including TCP/IP, HTTP, DNS, and packet structure.
Research how malware communicates with remote servers.
Design a system capable of capturing live network traffic using packet sniffing techniques.
Extract relevant features such as IP addresses, ports, protocol types, and packet sizes.
Implement anomaly detection algorithms to identify unusual traffic behavior.
Develop rule-based detection for known malicious IP addresses and domains.
Store captured logs securely with timestamps.
Create a dashboard to visualize suspicious traffic patterns.
Test the system using simulated malware traffic scenarios.
Document ethical considerations and system deployment limitations.
