Applying the Danger Model to Design an Intrusion Detection System
For many years,the classic self-nonself(SNS)discrimination modeis have served security experts to build intrusion detection systems(IDSs).However.the recently accumulative evidences have shown that not only can not the SNS models explain a number of documented phenomena.such as transplantation,tumor and autoimmunity in the context of immunology.but also they aren’t able to overcome the scaling problems when in face of tremendous network traffic in terms of computer security.In this paper,a novel artificial immune system inspired by danger theory(DT)is proposed for the purPoses of detecting intrusion.We have made the best use of the antigen presenting cells(APCs)to analyze endogenous signals,and harnessed the pattern recognition receptors(PRRs) for the recognition of exogenous signals.Based on the two types of signals,we establish a dynamic detection algorithm to gear to the complex network environment,improving the faise positive and false negative.
Haidong Fu Xiguo Yuan Kui Zhang Na Wang Ting Xia
国际会议
The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)
成都
英文
1027-1031
2007-12-19（万方平台首次上网日期，不代表论文的发表时间）