PPIDS: Privacy preserving intrusion detection system

Hyun A. Park, Dong Hoon Lee, Jong In Lim, Sang Hyun Cho

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

6 Citations (Scopus)

Abstract

The goal of intrusion detection systems(IDS) is to protect from the signs of security problems. However, since an IDS usually depends on the monitored data and has to identify an intruder, the running of IDS comes to threaten users' privacy. In this paper, we propose a new privacy preserving method in intrusion detection system by applying cryptographic methods to log files. It can meet the enhanced privacy of users as well as the security of network providers without TTP.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages269-274
Number of pages6
Volume4430 LNCS
Publication statusPublished - 2007 Dec 1
Event2007 Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2007 - Chengdu, China
Duration: 2007 Apr 112007 Apr 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4430 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2007 Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2007
CountryChina
CityChengdu
Period07/4/1107/4/12

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Keywords

  • Audit log
  • Host-based IDS
  • Intrusion detection system
  • Privacy
  • Privacy homomorphism

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Park, H. A., Lee, D. H., Lim, J. I., & Cho, S. H. (2007). PPIDS: Privacy preserving intrusion detection system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4430 LNCS, pp. 269-274). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4430 LNCS).