Model for Intrusion Detection System with Data Mining
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 4
Abstract
Today internet has become very popular medium to communicate between users publicly, due to this, lots of intruder has spread across the internet that perform malicious activity and attack to destroy useful information. There are many techniques to detect cyber-attacks and malicious activities in computer systems in which networks Intrusion detection systems (IDSs) is one of them. It is well-known and widely-used security tool. This paper is presenting general study of the existing techniques of intrusion detection using data mining methods. Furthermore there is proposed model of IDS which is the combination of clustering and classification technique to. At the time of experimental analysis we will compare performance of the proposed IDS with existing IDS in terms of execution time and memory utilization.
Authors and Affiliations
Deepak Upadhyaya , Shubha Jain
Keywords
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