A novel hybrid intrusion detection method integrating anomaly detection with misuse detection

Author:

Kim Gisung,Lee Seungmin,Kim Sehun

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference15 articles.

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2. Barbara, D., Couto, J., Jajodia, S., Popyack, L., & Wu, N. (2001). ADAM: Detecting intrusions by data mining. In Proceedings of the IEEE workshop on information assurance and security (pp. 11–16).

3. Tree decomposition for large-scale SVM problems;Chang;Journal of Machine Learning Research,2010

4. LIBSVM: A library for support vector machines;Chang;ACM Transactions on Intelligent Systems and Technology,2011

5. An intelligent intrusion detection system for anomaly and misuse detection in computer networks;Depren;Expert Systems with Applications,2005

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