首页 | 本学科首页   官方微博 | 高级检索  
     

基于人工免疫的入侵检测改进模型研究
引用本文:王一川,张仕斌. 基于人工免疫的入侵检测改进模型研究[J]. 昆明理工大学学报(自然科学版), 2009, 34(1): 52-56
作者姓名:王一川  张仕斌
作者单位:成都信息工程学院,四川,成都,610225;成都信息工程学院,四川,成都,610225
基金项目:四川省教育厅青年基金,成都信息工程学院科技发展基金 
摘    要:在前人提出的基于人工免疫的入侵检测模型的基础上,加入了抗体精度匹配阀值和粗糙匹配频度阀值以改进其算法中对于self—nonself的判断处理方法,使得对于正常的突发性网络事件也可以进行合理的判断,从而加强了对网络事件检测的灵活性,并提出了改进后的入侵检测与防御体系模型.最后通过仿真测试,证明本模型在对突发性网络事件判断的灵活性、合理性和可行性,优于前人的基于人工免疫的入侵检测模型.

关 键 词:人工免疫  入侵检测系统  防御体系  网络安全

Study on Improved Model of Intrusion Detection Based on Artificial Immunization
WANG Yi-chuan,ZHANG Shi-bin. Study on Improved Model of Intrusion Detection Based on Artificial Immunization[J]. Journal of Kunming University of Science and Technology(Natural Science Edition), 2009, 34(1): 52-56
Authors:WANG Yi-chuan  ZHANG Shi-bin
Affiliation:Chengdu University of Information Technology;Chengdu 610225;China
Abstract:Based on a former invasion detection model of artificial immunization,the match values of immune body precision and rough match frequency are added to improve the self-nonself judgment and processing method of this algorithm and to enable it to carry on reasonable judgment of the common sudden network events,which also strengthens the flexibility of network event detection.An improved invasion and defensive model is then proposed.Finally,through simulation test,the flexibility,feasibility and rationality of...
Keywords:artificial immune  intrusion detection system  defending system  network security  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号