Abstract: The escalating scale and sophistication of cyberattacks pose a formidable challenge to conventional intrusion detection systems (IDS) because they lack the flexibility to adapt to evolving ...
Abstract: This work proposes a real-time network anomaly detection system using the integration of Snort, an open-source intrusion detection system, with various unsupervised machine learning methods.
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