Intrusion Detection Using Cost-Sensitive Classification

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Intrusion Detection is an invaluable part of computer networks defense. An important consideration is the fact that raising false alarms carries a significantly lower cost than not detecting at- tacks. For this reason, we examine how cost-sensitive classification methods can be used in Intrusion Detection systems. The performance of the approach is evaluated under different experimental conditions, cost matrices and different classification models, in terms of expected cost, as well as detection and false alarm rates. We find that even under unfavourable conditions, cost-sensitive classification can improve performance significantly, if only slightly.
13 pages, 6 figures, presented at EC2ND 2007

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Cryptography and Security, Computer Vision and Pattern Recognition, Networking and Internet Architecture

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http://salesiana.dossiersoluciones.com/handle/123456789/164818

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0807.2043
 http://arxiv.org/abs/0807.2043

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arXiv