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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.