Browsing Department of Building and Civil Engineering by Subject "Ensemble machine learning"
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Ensemble Network Intrusion Detection Model Based on Classification & Clustering for Dynamic Environment
(International Journal of Engineering Research & Technology (IJERT), 2018-02)- Anomaly detection is a critical issue in Network Intrusion Detection Systems (NIDSs). Most anomaly based NIDSs employ supervised algorithms, whose performances highly depend on attack-free training data. However, this ...