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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56865
Volume:
10 |
2 |
Feb 2026
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.
Artificial Intelligence (AI) has significantly transformed the landscape of cybersecurity by introducing advanced capabilities for both attackers and defenders. While AI enables automated threat detection, real-time monitoring, and predictive analytics for security professionals, it also empowers cybercriminals to launch intelligent, adaptive, and large-scale attacks. AI-driven phishing, deepfake- based social engineering, polymorphic malware, and automated vulnerability scanning are becoming increasingly common. At the same time, machine learning models such as Random Forest, Support Vector Machines, and Neural Networks are being used to detect anomalous behavior and prevent cyber intrusions. ⬛
KEYWORDS
Publication Date
2/25/2026
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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