Towards immune inspired fault tolerance in embedded systems

J. Timmis, R. De Lemos, M. Ayara, R. Duncan

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

12 Citations (Scopus)

Abstract

The immune system is a remarkable natural system that is proving to be of great inspiration to computer scientists and engineers alike. This paper discusses the role that the immune system can play in the development of fault tolerant embedded systems. Initial work in the area has highlighted the use of the immune process of negative selection, and more importantly the concept of self/non-self discrimination in the application of artificial immune systems to fault tolerance. This paper reviews those works, highlights issues relating to the way in which this area is approached, and raises important points that need to be considered before effective immune inspired fault tolerant systems can be constructed.

Original languageEnglish
Title of host publicationICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
Subtitle of host publicationComputational Intelligence for the E-Age
EditorsJagath C. Rajapakse, Soo-Young Lee, Lipo Wang, Kunihiko Fukushima, Xin Yao
PublisherIEEE Press
Pages1459-1463
Number of pages5
ISBN (Electronic)9810475241, 9789810475246
DOIs
Publication statusPublished - 2002
Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
Duration: 18 Nov 200222 Nov 2002

Publication series

NameICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
Volume3

Conference

Conference9th International Conference on Neural Information Processing, ICONIP 2002
Country/TerritorySingapore
CitySingapore
Period18 Nov 200222 Nov 2002

Keywords

  • fault tolerant systems
  • embedded system
  • immune system
  • artificial immune system
  • computer security
  • computational intelligenceapplication software
  • shape measurement
  • laboratories
  • biology computing

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