Título: Combined data mining approach for intrusion detection

Autores: Urko Zurutuza , Roberto Uribeetxeberria , Ekain Azketa, Gorka Gil, Jesús Lizarraga , and Miguel Fernández

Fecha: July 2007

Area: Seguridad

Tema: Sistemas de Detección de Intrusiones (IDS)

Abstract: This paper presents the results of the project MIAU, a data mining approach for intrusion detection alert correlation. MIAU combines different data mining techniques in order to properly solve some existing problems in the management and analysis of alerts generated by actual intrusion detection systems. Some of these data mining methods and their application to MIAU are introduced in this paper. Experiments have been carried out with the purpose of demonstrating the validity of the proposed model and some conclusions about them are extracted. Finally, some possible improvements for the system and further work are exposed.

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bibtex:

@INPROCEEDINGS{zur07,
  author = {Urko Zurutuza and Roberto Uribeetxeberria and Ekain Azketa and Gorka
    Gil and Jes\'us Lizarraga and Miguel Fern\'andez},
  title = {Combined data mining approach for intrusion detection},
  booktitle = {Proceedings of the International Conference on Security and Cryptography,
    (SECRYPT'2007)},
  year = {2007},
  address = {Barcelona, Spain,},
  month = {July}
}