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Artificial Immunology for computer viruses |
 With increased global interconnectivity, organizations must protect their systems from intrusion and computer-virus attacks. Current antivirus and network intrusion detection (ID) solutions can become overwhelmed by the burden of capturing and classifying new viral stains and intrusion patterns. To overcome this problem, a self-adaptive distributed agent-based defense mechanism based on the strategies of biological immune systems has been developed within a hierarchical layered architecture.
A prototype interactive system as been designed, implemented in Java, and tested. The results validate the use of a distributed-agent biological-system approach toward the computer-security problems of virus elimination and intrusion detection. [1]
Editor's Note: Artificial Immune Systems (AIS) are adaptive systems, inspired by theoretical immunology and observed immune functions, principles and models, which are applied to problem solving [2].
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| [1] |
P. K. Harmer , P. D. Williams , G. H. Gunsch , and G. B. Lamont (2002), "An artificial immune system architecture for computer security applications", IEEE Transactions on Evolutionary Computation, 6:252-280 |
| [2] |
L.N. de Castro and J. Timmis (2002), "Artificial Immune Systems: A New Computational Intelligence Aproach", Springer, pp 57-58, ISBN 1852335947, 9781852335946 |
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With increased global interconnectivity, organizations must protect their systems from intrusion and computer-virus attacks. Current antivirus and network intrusion detection (ID) solutions can become overwhelmed by the burden of capturing and classifying new viral stains and intrusion patterns. To overcome this problem, a self-adaptive distributed agent-based defense mechanism based on the strategies of biological immune systems has been developed within a hierarchical layered architecture.