Abstract
This paper presents an intrusion detection method based on the sparse SVM (support vector machines). This algorithm is to achieve sparse expression for the network data by constructing a sparse base, which could reduce the number of data to be processed, and then use the SVM algorithm to carry out the classification, thus achieving the efficient intrusion detection for the network access behavior.
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.