ICIC 2012: Emerging Intelligent Computing Technology and Applications pp 139-145 | Cite as
Research on Information Fusion Method Based on sFlow and Netflow in Network Security Situation
Abstract
This paper firstly analyses the characteristic of sFlow and Netflow data as situation awareness data source, then introduces the current common used information fusion methods, and researches the applicability of various methods in the network safety situation awareness system based on sFlow and Netflow. Finally, an improved fusion algorithm is proposed which is combined Bayes estimation and fuzzy clustering method. This method can effectively integrate the information from different data source, and fused data is more credible and comprehensive. It provides important data basis and theoretical guidance for analysis and realization of the network security situation.
Keywords
sFlow netflow data fusion bayes fuzzy clusteringPreview
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References
- 1.Liu, X., Wang, H., Lai, J., Ye, H.: Network Security Situation Generation and Evaluation Based on Heterogeneous Multi-sensor Fusion. Journal of System Simulation 22(6), 133–142 (2010)Google Scholar
- 2.Ronald, P.S.: Statistical Multisource-multitarget Information Fusion. Artech House (2007)Google Scholar
- 3.Goodman, I.R., Nguyen, H.T.: Mathemtics of Data Fusion. Kluwer Academic Publishers (1997)Google Scholar
- 4.Varshney, P.K.: Distributed Detection and Data Fusion. Springer (1996)Google Scholar
- 5.Bass, T.: Intrusion Systems and Multisensor Data Fusion. Communications of the ACM 43(4), 99–105 (2009)CrossRefGoogle Scholar