Jianxiong Luo, Susan M. Bridges, Rayford B.Vaughn, Jr.  Home/Search
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Abstract: Data mining methods including association rule mining and frequent episode mining have been applied to the intrusion detection problem. In other work, we have introduced modifications of these methods that mine fuzzy association rules and fuzzy frequent episodes and have described off-line methods that utilize these fuzzy methods for anomaly detection from audit data. In this paper we describe another extension that uses fuzzy frequent episodes for near real-time intrusion detection. We first... (Update)
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BibTeX entry: (Update)
@misc{ luo-fuzzy,
author = "Jianxiong Luo and Susan M. Bridges and Rayford B.Vaughn and Jr.",
title = "Fuzzy Frequent Episodes for Real-Time Intrusion Detection",
url = "citeseer.ist.psu.edu/579225.html" }
Citations (may not include all citations):400 Fast discovery of association rules (context) - Agrawal, Mannila et al. - 1996 ACM DBLP
13 Mining fuzzy association rules and fuzzy frequency episodes .. (context) - Jianxiong, Bridges - 2000 DBLP
12 Mining fuzzy association rules in databases - Kuok, Fu et al. - 1998 ACM DBLP
1 and Julia (context) - John - 2000
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