PPIDS: Privacy preserving intrusion detection system

Hyun A. Park, Dong Hoon Lee, Jongin Lim, Sang Hyun Cho

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

8 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 publicationIntelligence and Security Informatics - Pacific Asia Workshop, PAISI 2007, Proceedings
Pages269-274
Number of pages6
Publication statusPublished - 2007
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)0302-9743
ISSN (Electronic)1611-3349

Other

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

Keywords

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'PPIDS: Privacy preserving intrusion detection system'. Together they form a unique fingerprint.

  • Cite this

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