Self-nonself discrimination in a computer

Stephanie Forrest, Lawrence Allen, Alan S. Perelson, Rajesh Cherukuri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1321 Scopus citations

Abstract

The problem of protecting computer systems can be viewed generally as the problem of learning to distinguish self from other. We describe a method for change detection which is based on the generation 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.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Computer Society Symposium on Research in Security and Privacy
PublisherPubl by IEEE
Pages202-212
Number of pages11
ISBN (Print)0818656778
StatePublished - Jan 1 1994
EventProceedings of the 1994 IEEE Symposium on Research in Security and Privacy - Oakland, CA, USA
Duration: May 16 1994May 18 1994

Publication series

NameProceedings of the IEEE Computer Society Symposium on Research in Security and Privacy
ISSN (Print)1063-7109

Other

OtherProceedings of the 1994 IEEE Symposium on Research in Security and Privacy
CityOakland, CA, USA
Period5/16/945/18/94

    Fingerprint

ASJC Scopus subject areas

  • Software

Cite this

Forrest, S., Allen, L., Perelson, A. S., & Cherukuri, R. (1994). Self-nonself discrimination in a computer. In Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy (pp. 202-212). (Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy). Publ by IEEE.