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A Survey and Comparative Study of Different Data Mining Techniques for Implementation of Intrusion Detection System


Author : Tanmayee S. Sawant and Suhasini A. Itkar

Pages : 1288-1291
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Abstract

With the increased use of internet, computerized applications and online transactions, it is most important to handle and prevent the different types of attacks and information security from intruders. Intrusion Detection System (IDS) is the most reliable system that can handle the intrusions of the computer environment and alert the network administrator so that they can take corrective actions to prevent that intrusion. Current intrusion detection systems may not able to detect unknown attacks as they are emerged swiftly every day. Up till now Intrusion detection system implemented using many techniques such as data mining technique, neural network technique, using combination of different classifiers, hybrid approach as well as layered approach. In this paper we showed the comparative study of different techniques of implementation of IDS

Keywords: Data mining, Intrusion detection system.

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)

 

 

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