Abstract: Network attacks pose a major security threat in today's society. From small mobile devices to large cloud platforms, nearly all computing products we use daily are interconnected and vulnerable to network intrusions. As the number of network users rapidly grows, these intrusions have become more frequent, volatile, and sophisticated. Detecting these intrusions in real-time across such extensive networks is critical yet highly challenging. Consequently, machine learning-based Network Intrusion Detection (NID) systems, recognized for their intelligent capabilities, have.......
Keywords — Network security, intrusion detection system, classifiers, decision tree, machine learning
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