Jiao-Chuan Huang

Reinforcement Learning Meets LLM Honeypots: A MITRE Engage-Aligned Approach

The growing sophistication of cyberattacks, accelerated by large language models (LLMs), highlights the limitations of traditional honeypots, which often lack realism, require heavy maintenance, and rely on static deception strategies. Recent LLM-based honeypots generate fluent, context-aware responses but cannot adapt...