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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52403
Volume:
9 |
9 |
Sep 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The growing complexity of cyber threats necessitates creative solutions beyond conventional rule-based security systems. This study presents a new method for the incorporation of artificial intelligence (AI) into intrusion detection and prevention systems (IDPS) that facilitates real-time threat mitigation, adaptive learning, and autonomous response. Through the use of machine learning (ML), behavioural analytics, and generative AI, this solution overcomes the weaknesses of legacy systems while maximizing accuracy, scalability, and operational efficiency in cybersecurity.
KEYWORDS
Publication Date
3/8/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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