{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T06:24:07Z","timestamp":1783059847227,"version":"3.54.6"},"reference-count":0,"publisher":"Iterative International Publishers (IIP)","isbn-type":[{"value":"9788169809313","type":"print"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,1]]},"abstract":"<jats:p>The exponential growth of cyber threats has necessitated the development of intelligent, automated defense mechanisms capable of detecting and mitigating sophisticated attacks in real-time. This chapter explores the integration of artificial intelligence, particularly machine learning and deep learning, in cybersecurity threat detection systems. We examine the application of AI techniques in anomaly detection, intrusion detection systems, malware classification, and behavioral analysis. Furthermore, we address critical challenges including adversarial robustness, the need for explainable AI in security contexts, and the implementation of real-time threat intelligence platforms. Through comprehensive analysis of current research and practical implementations, this chapter provides insights into the transformative potential of AI-powered security solutions while acknowledging their limitations and future research directions.<\/jats:p>","DOI":"10.58532\/nbennurissdb3p5c1","type":"book-chapter","created":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T06:06:51Z","timestamp":1783058811000},"page":"155-170","source":"Crossref","is-referenced-by-count":0,"title":["AI-DRIVEN CYBERSECURITY: MACHINE LEARNING APPROACHES TO INTRUSION DETECTION AND MALWARE ANALYSIS"],"prefix":"10.58532","author":[{"family":"Dr. G. Sumathi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"37380","published-online":{"date-parts":[[2026,6,1]]},"container-title":["IIP Series","INTELLIGENT SECURITY SYSTEMS: DATA PRIVACY, CRYPTOGRAPHY, AND CYBER PROTECTION \u2013 VOLUME 6 2026 S1006B3"],"original-title":[],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T06:06:56Z","timestamp":1783058816000},"score":1,"resource":{"primary":{"URL":"https:\/\/iipseries.org\/viewpaper.php?pid=8598&pt=ai-driven-cybersecurity-machine-learning-approaches-to-intrusion-detection-and-malware-analysis"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,1]]},"ISBN":["9788169809313"],"references-count":0,"URL":"https:\/\/doi.org\/10.58532\/nbennurissdb3p5c1","relation":{},"ISSN":["3070-7617"],"issn-type":[{"value":"3070-7617","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6,1]]}}}