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Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 31-898
Full Name: He Weisong
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: No.4,Section 2,North Jianshe Road,Chengdu
Country: CHINA
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E-mail address: heweisong@gmail.com
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Title of the Paper: Large-scale Communication Network Behavior Analysis and Feature Extraction Using Multiple Motif Pattern Association Rule Mining
Authors as they appear in the Paper: weisong he,guangmin hu,xingmiao yao
Email addresses of all the authors: heweisong@gmail.com
Number of paper pages: 10
Abstract: Minimize false positive and false negative is one of the difficult problems of network behavior analysis. This paper propose a large-scale communications network behavior feature analysis method using multiple motif pattern association rule mining, analyze multiple behavior feature time series as a whole, produce valid association rules of abnormal network behavior feature, characterize the entire communication network security situation accurately. Experiment with Abilene network data verifies this method.
Keywords: Network behavior analysis, principal components analysis, time frequency analysis, multiple motif pattern association rule mining
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