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An artificial immune system architecture for computer security applications Abstract: With increased global interconnectivity and reliance on e-commerce, network services and Internet communication, computer security has become a necessity. Organizations must protect their systems from intrusion and computer virus attacks.
Such protection must detect anomalous patterns by exploiting known signatures while monitoring normal computer programs and network usage for abnormalities. Current anti-virus and network intrusion detection ID solutions can become overwhelmed by the burden of capturing and classifying new viral strains and intrusion patterns. A CVIS uses the human immune system as a model for identifying, attacking, and eradicating viruses from computers and networks.
This paper analyses the requirements of such a computer virus immune system and evaluates current approaches with respect to these requirements. Based on this analysis, we propose a distributed architecture for implementing a CVIS. In particular, we discuss how emerging technologies such as evolutionary algorithms EA and intelligent agents IA can be employed to give the CVIS a self-adaption capability for new viral threats.
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