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Self-Nonself Discrimination in a Computer

Author

Listed:
  • Stephanie Forrest
  • Alan S. Perelson
  • Lawrence Allen
  • Rajesh Cherukuri

Abstract

The problem of protecting computer systems can be viewed generally as the problem of learning to distinguish {\it self} from {\it other}. We describe a method for change detection which is based on the gereration of T cells in the immune system. Mathematical analysis reveals computational costs of the system, and preliminary experiments illustrate how the method might be applied to the problem of computer viruses.

Suggested Citation

  • Stephanie Forrest & Alan S. Perelson & Lawrence Allen & Rajesh Cherukuri, 1994. "Self-Nonself Discrimination in a Computer," Working Papers 94-06-038, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:94-06-038
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    Cited by:

    1. Thapatsuwan, Peeraya & Pongcharoen, Pupong & Hicks, Chris & Chainate, Warattapop, 2012. "Development of a stochastic optimisation tool for solving the multiple container packing problems," International Journal of Production Economics, Elsevier, vol. 140(2), pages 737-748.
    2. Bruno Filipe Faria & Patricia Mostardinha & Fernao Vistulo de Abreu, 2017. "Can the Immune System Perform a t-Test?," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-35, January.
    3. Fister, Iztok & Ljubič, Karin & Suganthan, Ponnuthurai Nagaratnam & Perc, Matjaž & Fister, Iztok, 2015. "Computational intelligence in sports: Challenges and opportunities within a new research domain," Applied Mathematics and Computation, Elsevier, vol. 262(C), pages 178-186.
    4. Zuo, X.Q. & Fan, Y.S., 2006. "A chaos search immune algorithm with its application to neuro-fuzzy controller design," Chaos, Solitons & Fractals, Elsevier, vol. 30(1), pages 94-109.

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