Paper Title:
A Novel Predication Approach for Network Security Situation Inspired by Immunity
  Abstract

To effectively prevent large-scale network security attacks, a novel Predication Approach for Network Security Situation inspired by Immunity (PANSSI) is proposed. In this predication approach, the concepts and formal definitions of antigen and antibody in the network security situation predication domain are given; meanwhile, the mathematical models of some antibody evolution operators being related to PANSSI are exhibited. By analyzing time series and computing the affinity between antigen and antibody in artificial immune system, network security situation predication model is established, and then the future situation of network security attacks is predicted by it. Experimental results prove that PANSSI can forecast the future network security situation real-timely and correctly, and provides a novel approach for network security situation predication.

  Info
Periodical
Edited by
Qi Luo
Pages
849-855
DOI
10.4028/www.scientific.net/AMM.20-23.849
Citation
Y. Q. Shi, T. Li, W. Chen, R. R. Zhang, "A Novel Predication Approach for Network Security Situation Inspired by Immunity", Applied Mechanics and Materials, Vols. 20-23, pp. 849-855, 2010
Online since
January 2010
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