coderjolly/malicious-network-detection

It focuses on identifying malicious and non-malicious network connections using machine learning. By processing Snort Intrusion Detection Logs, the project applies algorithms like Random Forest, AdaBoost, and XGBoost, achieving high accuracy in classifying network traffic and enhancing cybersecurity.

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