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Review paper on Intrusion Detection Using Data Mining Methods

Author(s):

Manish Arya , MITS; DR. Sanjiv Sharma, Madhav Insititute of Technology and Science Gwalior M.P

Keywords:

Data Mining, GA, IDS

Abstract

Data mining is developed being accepted as a feasible means of analyzing enormous data sets, it is no longer possible to manually find useful information in this data when use in commercial and scientific data set approaches the terabytes and petabytes ranges. IDS is the system which identifies malicious activity on the network. As the Internet volume is increasing rapidly, security against the real time attacks and their fast detection issues gain attention of many researchers. Approaches of data mining can be successfully applied to IDS to tackle dynamic data problems and to increase performance of IDS. In this paper we study about intrusion detection based data mining, GA, soft set approach, data warehouse and also some previous paper study.

Other Details

Paper ID: IJSRDV4I70067
Published in: Volume : 4, Issue : 7
Publication Date: 01/10/2016
Page(s): 169-174

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