Title :
Using Incremental Mining to Generate Fuzzy Rules for Real-Time Network Intrusion Detection Systems
Author :
Su, Ming-Yang ; Yeh, Sheng-Cheng ; Chang, Kai-Chi ; Wei, Hua-Fu
Author_Institution :
Ming Chuan Univ., Taoyuan
Abstract :
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.
Keywords :
data mining; fuzzy reasoning; security of data; fast algorithm; fuzzy association rules generation; incremental mining; real-time network intrusion detection; Algorithm design and analysis; Application software; Association rules; Data mining; Fuzzy systems; Intrusion detection; Itemsets; Principal component analysis; Real time systems; Spatial databases; Fuzzy Association Rule; Incremental Mining; Network Intrusion Detection System; Network Security; On-line mining;
Conference_Titel :
Advanced Information Networking and Applications - Workshops, 2008. AINAW 2008. 22nd International Conference on
Conference_Location :
Okinawa
Print_ISBN :
978-0-7695-3096-3
DOI :
10.1109/WAINA.2008.69
