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Network intrusion detection system based on sequential patterns

Li Chuan-chuan,Liu Yan-heng,Tian Da-xin   

  1. College of Computer Science and Technology,Jilin University,Changchun 130012,China
  • Received:2006-03-16 Revised:2006-08-20 Online:2007-01-01 Published:2007-01-01
  • Contact: Liu Yan-heng

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Abstract: The paper applies data mining technology to network intrusion detection system(NIDS) according to the characteristics of NIDS. The design principles and the implementation of the NIDS are illustrated. The main attribute and interest measure are introduced to improve the (GSP) algorithm, which is then applied in the data mining module of the system. The results of experiments show that the precision and performance of the NIDS are improved by the optimized algorithm.

Key words: compuer systems organization, intrusion detection, data mining, sequential pastern, axis attributes, interest measure

CLC Number: 

  • TP309
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