Exploring the Impact of AI-based Honeypots on Network Security

Abstract

Honeypots, utilized for detecting and deflecting unauthorized network access, have evolved with artificial intelligence advancements. This research paper covers AI-based honeypot technology in computer networking, detailing basic concepts and evolution towards AI usage. It explores AI techniques like machine learning and neural networks in honeypots, along with their advantages and limitations in network security. The paper concludes with future directions and challenges of AI-based honeypots, aiming to enhance network security and predict the role of AI in it.