Abstract
As the use of the computer is popularized, the damage from computer viruses and hacking by malicious users is increasing rapidly. To block the hacking that is an intrusion into a person's computer, and the viruses that destroy data, a study into an intrusion detection and virus detection system based on the biological immune system is in progress. In this article, we describe a model of positive and negative selection for self-recognition, which has a similar function to the cytotoxic T cells that play an important role in the biological immune system. We propose a self/nonself discrimination algorithm for a computer system, which will the important when we detect data infected by a computer virus, of data modified by an intrusion from outside. We also show the validity and effectiveness of the proposed self-recognition algorithm by a computer simulation of some infected data obtained from cell changes and string changes in the self-file.
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Sim, K.B., Sun, S.J. & Lee, D.W. Realization of a self-recognition algorithm based on the biological immune system. Artif Life Robotics 7, 32–39 (2003). https://doi.org/10.1007/BF02480883
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DOI: https://doi.org/10.1007/BF02480883