Abstract
Network Intrusion Detection System is a significant guarantee means for network security. However, the current Network Intrusion Detection System generally suffers from less prior knowledge which then leads to poor generalizing ability. Network Intrusion Detection System based on Support Vector Machine is endowed with favorable generalizing ability even with small sample size (less prior knowledge). The paper first gives an introduction to the basic concept of intrusion detection and the basic principle of the classifier based on Support Vector Machine, then discusses algorithm of Support Vector Machine, and finally forms Network Intrusion Detection System combining Anomaly Intrusion Detection and Misuse Intrusion Detection, based on Support Vector Machine.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
