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Analysis of Machine Learning Techniques for Intrusion Detection System: A Review
2015
International Journal of Computer Applications
Security is a key issue to both computer and computer networks. Intrusion detection System (IDS) is one of the major research problems in network security. IDSs are developed to detect both known and unknown attacks. There are many techniques used in IDS for protecting computers and networks from network based and host based attacks. Various Machine learning techniques are used in IDS. This study analyzes machine learning techniques in IDS. It also reviews many related studies done in the
doi:10.5120/21047-3678
fatcat:pljhydysizblhkmufyers3ic2a