A Novel Predication Approach for Network Security Situation Inspired by Immunity

被引:0
作者
Shi Yuan-quan [1 ]
Li Tao [1 ]
Chen Wen [1 ]
Zhang Rui-rui [1 ]
机构
[1] Sichuan Univ, Sch Comp Sci, Chengdu 610064, Peoples R China
来源
INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS, PTS 1 AND 2 | 2010年
关键词
Network Security; Situation Predication; Artificial Immune System; Prediction Model;
D O I
10.4028/www.scientific.net/AMM.20-23.849
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:849 / 855
页数:7
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