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Research on Information Fusion Method Based on sFlow and Netflow in Network Security Situation

  • Yanbo Wang
  • Huiqiang Wang
  • Chengqin Han
  • Baoyu Ge
  • Ming Yu
Part of the Communications in Computer and Information Science book series (CCIS, volume 304)

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 clustering 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yanbo Wang
    • 1
  • Huiqiang Wang
    • 1
  • Chengqin Han
    • 1
  • Baoyu Ge
    • 1
  • Ming Yu
    • 2
  1. 1.College of Computer Science and TechnologyHarbin Engineering UniversityHarbinChina
  2. 2.Information and computer engineering collegeNortheast Forestry UniversityHarbinChina

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