RuleLLM: LLM-driven rule generation for anomaly network traffic identification
Year: 2025
Type: article
Source: The Computer Journal
Authors: Tongcan Lin, Junfeng Wang
Institution: Sichuan University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Awards: G263632530, G6003201847
OpenAlex ID: W7119100769