A two-stage hybrid model for intrusion detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006
Pages163-165
Number of pages3
DOIs
Publication statusPublished - 2006
Event14th International Conference on Advanced Computing and Communications, ADCOM 2006 - Surathkal, India
Duration: 20-12-200623-12-2006

Conference

Conference14th International Conference on Advanced Computing and Communications, ADCOM 2006
CountryIndia
CitySurathkal
Period20-12-0623-12-06

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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    Krishnamoorthi, Reddy, N. V. S., & Acharya, U. D. (2006). A two-stage hybrid model for intrusion detection. In Proceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006 (pp. 163-165). [4289875] https://doi.org/10.1109/ADCOM.2006.4289875