International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Neurophage Sentinel – Adaptive AI Honeypot System |
|---|---|
| ABSTRACT | Modern organizational security faces unprecedented challenges from sophisticated, adaptive cyberattacks that systematically bypass traditional static defense mechanisms. Conventional honeypots, despite their utility in threat monitoring, are frequently identified and circumvented by experienced adversaries due to their predictable behavioral patterns and static configurations. This research presents "Neurophage Sentinel," an innovative next-generation adaptive honeypot system drawing inspiration from biological immune system responses. The proposed framework integrates machine learning algorithms with a dynamically self-mutating deception environment, continuously modifying services, network ports, and system responses to evade detection. By channeling attackers into a controlled yet constantly evolving simulated environment, Neurophage Sentinel facilitates real-time behavioral pattern analysis and accumulates high-fidelity threat intelligence regarding zero-day vulnerabilities and advanced persistent threats. Experimental validation demonstrates that this framework successfully transitions reactive defense paradigms into intelligent, proactive protection ecosystems capable of learning and adapting to emerging threat landscapes. |
| AUTHOR | ABDUL AZEEZ, ABDUL KADEER, MOHAMMED RAIYYAN, SHILPA D R Student, Dept. of ISE, Jain Institute of Technology, Davangere, Karnataka, India Assistant Professor, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401026 |
| pdf/26_Neurophage Sentinel – Adaptive AI Honeypot System.pdf | |
| KEYWORDS | |
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