Application of clustering techniques in a network security testing system

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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

4 Cites (Scopus)


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.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development
Nombre de pàgines8
Estat de la publicacióPublicada - 2005
Esdeveniment8th Catalan Conference on Artificial Intelligence, CCIA 2005 - Alguer, Italy
Durada: 26 d’oct. 200528 d’oct. 2005

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
ISSN (imprès)0922-6389


Conferència8th Catalan Conference on Artificial Intelligence, CCIA 2005


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