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CSECybersecurity / MLIEEE Final Year Projects
Machine-Learning Network Intrusion Detection Lab
Real-time network packet stream classifier using XGBoost and SHAP for explainable cyber-attack diagnosis.
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Project Technical Overview
Captures live PCAP network traffic using PyShark/Scapy, extracts flow features (packet size, inter-arrival time, port scans), classifies malicious traffic (DoSS, PortScan, Botnet), and provides SHAP feature attributions.
IEEE ResearchStandard Publication & Conference Literature
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.
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