GitHub - AyaanJahanzebAhmed/network_security_project: Developed anomaly-based IDS in Python (scikit-learn) to detect DoS and port scans. Achieved 90% precision without PCA and 81% precision with PCA, demonstrating trade-offs between dimensionality reduction and detection accuracy.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
KDDTrain+.txt		KDDTrain+.txt
KDDTrain.csv		KDDTrain.csv
isolation_forest_v2 Output.pdf		isolation_forest_v2 Output.pdf
isolation_forestv2_withPCA.py		isolation_forestv2_withPCA.py
isolation_forestv2_withoutPCA.py		isolation_forestv2_withoutPCA.py

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Developed anomaly-based IDS in Python (scikit-learn) to detect DoS and port scans. Achieved 90% precision without PCA and 81% precision with PCA, demonstrating trade-offs between dimensionality reduction and detection accuracy.