Innovative Machine Learning Algorithms for Classification and Intrusion Detectionv By IJISRT

With the escalating sophistication of cyber threats, the need for robust intrusion detection systems has become paramount in safeguarding information systems. This research addresses the limitations of traditional methods by proposing and evaluating innovative machine learning algorithms for classification in intrusion detection. The study explores a diverse set of algorithms designed to enhance accuracy, efficiency, and adaptability in the dynamic landscape of cybersecurity. The introduction provides a context for the research, emphasizing the critical role of intrusion detection in contemporary cybersecurity. A comprehensive literature review underscores the shortcomings of existing methodologies and sets…