An Apperceived Method of Danger Signals for Computer Systems Based on Cloud Model

摘要：

Danger Theory is a novel method of Biological Immunology. Artificial Immune Systems researchers may extract benefits from the theory, especially in anomaly detection. The definition of danger signals is one of the most important problems in Danger Theory. For the distinction between danger and safety is fuzzy and precarious, the precise calculation method is not suit for this problem. Cloud Model is an effective tool to transform qualitative concepts into quantitative expressions for uncertain problems. In this paper, a suggestive definition of danger signals based on Cloud Model is presented. The changes of key features of a computer system are collected and integrate by the rules generator based on Cloud Model, and danger signals are presented. The experimental results demonstrated that the proposed definition of danger signals is feasible.

关键词： Artificial Immune System Danger Theory Cloud Model

作者: He Yang Yiwen Liang

作者单位: Computer School Wuhan University Wuhan, China Department of computer science HuBei University of education Wuhan, China

会议类型: 国际会议

会议名称: 2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)

会议地点: 太原

会议语种:英文

页码: 1121-1124

在线出版日期: 2009-07-10（万方平台首次上网日期，不代表论文的发表时间）