[1]宋法根,宋如顺.基于安全域的计算机免疫系统[J].南京师范大学学报(工程技术版),2009,09(01):069-72.
　Song Fagen,Song Rushun.Computer Immune System Based on Security Area[J].Journal of Nanjing Normal University(Engineering and Technology),2009,09(01):069-72.
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基于安全域的计算机免疫系统
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
09卷
期数:
2009年01期
页码:
069-72
栏目:
出版日期:
2009-03-30

文章信息/Info

Title:
Computer Immune System Based on Security Area
作者:
宋法根;宋如顺;
南京师范大学数学与计算机科学学院, 江苏南京210097
Author(s):
Song Fagen; Song Rushun
School of Mathematics and Computer Science,Nanjing Normal University,Nanjing 210097,China
关键词:
人工免疫系统;  入侵检测系统;  阴性选择;  异常检测
Keywords:
artific ia l immune system;  in trusion detic tion system;  neg ative selection;  anom a ly detection
分类号:
TP393.08
摘要:
模仿生物的免疫机制建立的人工免疫系统可以很好的保护计算机数据的安全,但目前所建立的人工免疫系统存在一些问题.论文把计算机中的数据划分成几个模块,每个模块代表不同的安全域,在不同的安全域内建立不同的免疫子系统,各个子系统相互合作共同保护计算机的安全.这样既减少了计算量,又有利于保持抗体的多样性,从而提高了系统的鲁棒性,也降低了系统漏报的概率.
Abstract:
The artificia l imm une system wh ich is estab lished by m im ic b io log ical imm une m echanism s can wo rk we ll when it is used to pro tect the data of computer. But there are som e problem s w ith the current artificia l imm une system s. In th is paper, the com puter was d iv ided into severa lmodu les, each modu le representing different security dom ains. D i-f ferent immune system s a re built in differentm odules. Every sy stem cooperates w ith each o ther to protect the data o f compu ter. Th is w ill no t on ly greatly reduce the am ount of com puta tion, but also conduct to ma in tain the d iversity of antibodies. The diversity of antibod ies can enhance the robustness o f the system.

参考文献/References:

[ 1] 莫宏伟. 人工免疫系统原理与应用[M ]. 哈尔滨: 哈尔滨工业出版社, 2003.
M o H ongwe .i The Princ ip les and App lications o fA rtifica l Imm une System [M ] . H arb in: H a rbin Institute o fTechno logy Press, 2003. ( in Chinese)
[ 2] Stephanic Forrest, A lan S. Pe re lson, Law renceA llen, et a.l Se l-f nonse lf discr im ina tion in a computer[ C ] / / Pro c o f the IEEE Sym pos ium on Research in Secu rityand Privacy. Los A lam ilos: IEEE Com pute r Society Press, 1994.
[ 3] De BoerR J, Pere lson A SW. H ow diverse shou ld the imm une system be[ C] / / Pro ceedings of the Roya l Soc iety London B. London: Soc iety fo r in V itro B iology Press, 1993.
[ 4] Fe iW ang, Raghaven Uppa ll,i Charles K illian. Analysis o f techniques fo r bu ilding intrusion to lerant server sy stem s[ C] / / Proceedings ofM ilitary Communications Conference. Lo s A lam ilos: IEEE C om puter Soc iety Press, 2003: 729-734.
[ 5] Pa tr ik D. haeseleer, Stephan ie Forrest, PaulH e lm an. Immuno log ica l approach to change detection: algor ithm a, ana lysis and im plica tions[ C] / / Procce o f the IEEE Sym posium on Research in Secur ityand Privacy. Los A lam ilos: IEEE Com pute r So ciety Press, 1996.

备注/Memo

备注/Memo:
基金项目:国家“211工程”建设项目(181070H901);江苏省自然科学基金(2003101SBRB231)资助项目通讯联系人: 宋如顺, 教授, 研究方向: 信息安全. E-m ail:songrushun@ njnu. edu. cn
更新日期/Last Update: 2013-04-23