Mining fuzzy association rules and fuzzy frequency episodes for intrusion detection

Author:

Luo Jianxiong,Bridges Susan M.

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Reference16 articles.

1. Mining audit data to build intrusion detection models, In: editor. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, New York, New York, August 27-31, 1998, New York: AAAI Press; 1998. p 66-72.

2. An introduction to intrusion detection. (Downloaded from http://www.cs.purdue.edu/coast/archive/data/categ24.html on March 10, 1999.)

3. Artificial intelligence and intrusion detection: current and future directions. In: Proceedings of the 17th National Computer Security Conference, October, 1994.

4. A prototype real-time intrusion-detection expert system. In: Proceedings of 1988 IEEE Computer Society Symposium on Research in Security and Privacy, Oakland, CA, April 18-21, 1988. Los Alamitos, CA: IEEE Computer Society Press; 1988. p 59-66.

5. Adaptive real-time anomaly detection using inductively generated sequential patterns. Proceedings of 1990 IEEE Computer Society Symposium on Research in Security and Privacy, Oakland, CA, May 7-9, 1990. Los Alamitos, CA: IEEE Computer Society Press; 1990. p 278-284.

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