人工免疫危险理论中的平衡机制研究及应用

Research and Application of Immune Homeostasis Mechanism in Danger Theory

摘要:

危险理论作为人工免疫学的新兴研究方向,其主要思想是通过危险信号的发现和融合来检测异常,危险信号的自适应感知是人工免疫危险理论需要解决的首要问题；从生物免疫系统保障机体生理平衡这一机理出发,将免疫系统中的平衡思想引入危险理论中,通过寻找导致信息系统失衡的变化因素,来实现危险行为的自适应发现；从机体免疫平衡理论出发,借鉴数学中的微分方法对信息系统各种行为发生时资源的占用特征进行形式化描述；从信息系统资源指标占用特征入手,实现对信息系统中各种平衡的描述,通过对失衡状态的判定来进行危险的发现,并对其实现方法和步骤做出了解释；最后以僵尸程序(SpyBot)为实验对象验证了所提出的利用免疫平衡理论检测危险方法的有效性。

Abstract:

Danger theory is a new research direction of artificial immune system. Its main idea is to detect anomalies by the discovery and fusion of danger signals. The adaptive perception of danger was the most important question need to be solved in Danger Theory. Based on the mechanism that the physiological balance was protected by biological immune system, the balance mechanism was introduced into Danger Theory in order to realize that the danger can be adaptive found through looking for changing factors which may lead to the imbalance of information system. This paper started from the immune homeostasis theory to formally describe the various characteristics of system resource indicators by using a differential calculus the balance in the information system was described in the feature of resource occupy. Besides, it is given the explanation of its meaning and implementation. Finally, use SpyBot as an example to test the effectiveness of the proposed method. 