AI-enhanced Honeypots for Zero-Day Exploit Detection and Mitigation

Merlin Balamurugan

doi:10.36948/ijfmr.2024.v06i06.32866

AI-enhanced Honeypots for Zero-Day Exploit Detection and Mitigation

Author(s)	Merlin Balamurugan
Country	United States
Abstract	Dive into the world of cybersecurity with this cutting-edge article, ‘AI-enhanced Honeypots for Zero-Day Exploit Detection and Mitigation, ‘designed to tackle the elusive zero-day exploits. Traditional honeypots, while valuable, often fall short of these sophisticated attacks. Enter artificial intelligence—machine learning algorithms—that dynamically empower honeypots to adapt to new threats. This innovative framework uses AI to scrutinize network traffic, spot unusual patterns, and predict exploit attempts in real-time, boosting detection accuracy and slashing false positives. AI model was crafted and trained on diverse datasets to catch even the subtlest signs of zero-day exploits. Testing in a controlled setting revealed impressive improvements in response times and detection rates over traditional methods. AI-enhanced honeypots achieved a detection rate of 92% for zero-day exploits, significantly outperforming traditional systems, which had a detection rate of 75%, and the average response time for identifying and mitigating threats was reduced to 2 seconds with AI-enhanced systems, compared to 5 seconds with traditional honeypots. Also, this AI-enhanced system isolates threats, preventing lateral movement within networks for robust mitigation. These findings spotlight AI's transformative potential in cybersecurity, paving the way for proactive defenses in a constantly shifting threat landscape. Future research aims to refine these AI models and explore their use across various industries, bolstering overall cyber resilience.
Keywords	Artificial Intelligence, Honeypots, Zero-Day, Fraud Prevention, Cybersecurity
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-12
Cite This	AI-enhanced Honeypots for Zero-Day Exploit Detection and Mitigation - Merlin Balamurugan - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32866
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.32866
Short DOI	https://doi.org/g8vgf4

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AI-enhanced Honeypots for Zero-Day Exploit Detection and Mitigation

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