Intrusion Detection Using Cost-Sensitive Classification

Details Intrusion Detection Using Cost-Sensitive Classification Intrusion Detection Using Cost-Sensitive Classification

2008-07-13

arxiv.org/abs/0807.2043v1

Computer Science

Cryptography and Security

13 pages, 6 figures, presented at EC2ND 2007

Scientific paper

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.

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