吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (06): 1650-1657.doi: 10.7964/jdxbgxb201306035

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Quantitative awareness of network security situation based on fusion

LIU Xiao-wu1, WANG Hui-qiang2, LYU Hong-wu2, AN Shu-zhao3   

  1. 1. College of Computer Science, Qufu Normal University, Rizhao 276826, China;
    2. College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China;
    3. School of Information Engineering Technology, College of Qingdao Hismile, Qingdao 266100, China
  • Received:2013-04-01 Online:2013-11-01 Published:2013-11-01

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Abstract:

In order to solve the problems of multi-source fusion and quantitative awareness in the network security situation awareness, the particle swarm optimization is applied to search the exponent weight for different reliability data source for the D-S evidence fusion, and the multi-source fusion was obtained. Based on the fusion, the threaten gene acquisition method with adaptability was studied through the discretization to normal distribution, and the situation factor extraction was accomplished. According to the fusion and factor extraction, a formal network security situation awareness method was proposed. This method could generate service, host and network system level situation evolution curves. Simulation experiments show that the proposed fusion method can increase the detection rate and decrease the false detection rate. The formal quantitative method is able to be aware of the dynamic change of the threat and meets the goal of monitoring the network in an effective manner.

Key words: computer application, network security situation awareness, multi-source fusion, quantitative awareness

CLC Number: 

  • TP393.4

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