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22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)
Using Incremental Mining to Generate Fuzzy Rules for Real-Time Network Intrusion Detection Systems
March 25-March 28
ISBN: 978-0-7695-3096-3
In the paper, we propose a fast algorithm to generate fuzzy association rules by incremental mining approach, for which the transactions or data records are online instantly collected from live packets. That is, as one data record is collected online, the latest fuzzy rules can be obtained immediately. According to our simulation, in case of the number of features do not excess twenty, mining process can be completed from several milliseconds to seconds depending on the number of features.
Index Terms:
Network Security, Network Intrusion Detection System, Fuzzy Association Rule, Incremental Mining, On-line mining
Citation:
Ming-Yang Su, Sheng-Cheng Yeh, Kai-Chi Chang, Hua-Fu Wei, "Using Incremental Mining to Generate Fuzzy Rules for Real-Time Network Intrusion Detection Systems," ainaw, pp.50-55, 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008), 2008
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