Application of clustering techniques in a network security testing system

Guiomar Corral, Elisabet Golobardes, Oriol Andreu, Isard Serra, Elisabet Maluquer, Àngel Martínez

Research output: Book chapterConference contributionpeer-review

4 Citations (Scopus)

Abstract

Security has become a main concern in corporate networks. In order to keep a network protected it is necessary to periodically perform security tests to control devices and services, and also identify possible vulnerabilities. Never two networks behave the same way; thus, results obtained from security tests may substantially differ from one to another. In this case, trying to manually find a behavior pattern for all networks becomes a difficult task. Unsupervised techniques can help security analysts finding certain devices patterns, and also help revealing hidden problems in network security. This paper proposes a solution based on unsupervised techniques to help security analysts handling all the information obtained from security tests in order to detect abnormal groups of devices or atypical system behaviors.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development
Pages157-164
Number of pages8
Publication statusPublished - 2005
Event8th Catalan Conference on Artificial Intelligence, CCIA 2005 - Alguer, Italy
Duration: 26 Oct 200528 Oct 2005

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume131
ISSN (Print)0922-6389

Conference

Conference8th Catalan Conference on Artificial Intelligence, CCIA 2005
Country/TerritoryItaly
CityAlguer
Period26/10/0528/10/05

Keywords

  • AI applications
  • Network security test
  • Unsupervised learning

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