AINeutralarXiv – CS AI · 14h ago6/10
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Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots
Researchers introduce Honeyval, a comprehensive evaluation framework for testing LLM-powered HTTP honeypots against AI-driven attackers. The framework addresses scalability and reproducibility gaps in existing honeypot evaluations, revealing that LLM-based honeypots substantially outperform rule-based systems in engagement duration while remaining difficult to detect, though trade-offs exist between interaction length and detection evasion.