A Two-stage Hybrid Model for Intrusion Detection

Makkithaya, Krishnamoorthi and Subbareddy , NV and Acharya, Dinesh U (2006) A Two-stage Hybrid Model for Intrusion Detection. In: International Conference on Advanced Computing and Communications, 20-23 Dec. 2006 , Surathkal .

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Abstract

As the number of networked computers grows, intrusion detection is an essential component in keeping networks secure. Various approaches to intrusion detection are currently being in use with each one has its own merits and demerits. This paper presents a hybrid approach for modeling intrusion detection system (IDS). Rule based classifier and simple K-means clustering are combined as a hybrid intelligent system. The initial prototype developed by the rule base classifier improves the performance of K-means clustering. The results show that the developed hybrid model provides better IDS

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Data mining, Intrusion detection, Hybrid model, Kmeans clustering, Rule based classifier
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 27 Jun 2011 08:58
Last Modified: 27 Jun 2011 08:58
URI: http://eprints.manipal.edu/id/eprint/339

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