Title: Network security management with traffic pattern clustering
Authors: Chiou, Tao-Wei
Tsai, Shi-Chun
Lin, Yi-Bing
資訊工程學系
Department of Computer Science
Keywords: Clustering;Machine learning;Jaccard similarity;ROC curve;Denial of service;Big data
Issue Date: 1-Sep-2014
Abstract: Profiling network traffic pattern is an important approach for tackling network security problem. Based on campus network infrastructure, we propose a new method to identify randomly generated domain names and pinpoint the potential victim groups. We characterize normal domain names with the so called popular 2gram (2 consecutive characters in a word) to distinguish between active and nonexistent domain names. We also track the destination IPs of sources IPs and analyze their similarity of connection pattern to uncover potential anomalous group network behaviors. We apply the Hadoop technique to deal with the big data of network traffic and classify the clients as victims or not with the spectral clustering method.
URI: http://dx.doi.org/10.1007/s00500-013-1218-0
http://hdl.handle.net/11536/25038
ISSN: 1432-7643
DOI: 10.1007/s00500-013-1218-0
Journal: SOFT COMPUTING
Volume: 18
Issue: 9
Begin Page: 1757
End Page: 1770
Appears in Collections:Articles


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