Realization of a self-recognition algorithm based on the biological immune system |
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Authors: | K. -B. Sim S. -J. Sun D. -W. Lee |
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Affiliation: | (1) School of Electrical and Electronic Engineering, Chung-Ang University, 221 Huksuk-Dong, Dongjak-Ku, 156-756 Seoul, Korea |
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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. This work was presented, in part, at the Seventh International Symposium on Artificial Life and Robotics, Oita, Japan, January 16–18, 2002 |
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Keywords: | Computer immune system Self-recognition algorithm Positive selection Negative selection MHC set |
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