GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks 事件

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks arXiv:2606.05844v1 Announce Type: cross Abstract: Rule-based Intrusion Detection and Prevention Systems (IDPS) offer precise attack detection as well as mitigation, however their manually crafted, signature-driven rules limit adaptability to emerging and zero-day threats. Additionally, existing public datasets (e.g., CICIDS2017, UNSW-NB15) focus on traffic classification and provide little structured information to