An Intrusion Detection System Using Correlation, Prioritization and Clustering Techniques to Mitigate False Alerts-Reference-Cited by-同舟云学术

An Intrusion Detection System Using Correlation, Prioritization and Clustering Techniques to Mitigate False Alerts

Published:2018 Issue: Volume: Page:257-268
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

J. Andrew,Kathrine G. Jaspher W.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7200-0_23

Reference19 articles.

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2. Sandhu, U.A., Haider, S., Naseer, S., Ateeb, O.U.: A survey of intrusion detection & prevention techniques. In: 2011 International Conference on Information Communication and Management IPCSIT, vol. 16 (2011)

3. Alsubhi, K., Al-Shaer, E., Boutaba, R.: Alert Prioritization in Intrusion Detection Systems

4. Lagzian, S.: Frequent item set mining-based alert correlation for extracting multi-stage attack scenarios. In: IEEE Telecommunications (IST), 2012 Sixth International Symposium, pp. 1010–1014 (2012)

5. Yang, C.C., Ng, T.D.: Analyzing and visualizing web opinion development and social interactions with density-based clustering. In: Proceedings of the International WWW Conference, pp. 1144–1155 (2011)

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