An Intelligent Learning Method and System for Cybersecurity Threat Detection

Abstract To protect information system and data effectively is the core of cybersecurity. At present, most technologies are based on known static protection strategies. Through the cybersecurity threat is dynamic, so it is necessary to detect the cybersecurity in advance, so as to update the protection strategy in time, which means the dynamic and active defence. The intelligent learning method and system for cybersecurity threat detection is proposed. And the immune selection of cybersecurity threat detection is proposed to select the appropriate threshold, and the knowledge map of cybersecurity threat detection are constructed from suspicious time, security management centre, security computing environment, security area boundary and security communication network. The threshold is built by immune selection, and the cybersecurity intelligent detection can be achieved by knowledge map. The architecture of intelligent detection system is proposed. So that the cybersecurity threat detection can be dynamic and intelligent, and the performance of cybersecurity threat detection and analysis can be greatly improved.