Using Adaptive Alert Classification to Reduce False Positives in Intrusion Detection

Author:

Pietraszek Tadeusz

Publisher

Springer Berlin Heidelberg

Reference36 articles.

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3. Bloedorn, E., Hill, B., Christiansen, A., Skorupka, C., Talbot, L., Tivel, J.: Data Mining for Improving Intrusion Detection. Technical report, MITRE (2000)

4. Cohen, W.W.: Fast effective rule induction. In: Prieditis, A., Russell, S. (eds.) Proceedings of the 12th International Conference on Machine Learning, Tahoe City, CA, pp. 115–123. Morgan Kaufmann, San Francisco (1995)

5. Cuppens, F.: Managing alerts in multi-intrusion detection environment. In: Proceedings 17th Annual Computer Security Applications Conference, New Orleans, pp. 22–31 (2001)

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