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A comparative study on self-tolerant strategies for hardware immune systems

  • Xin Wang*
  • , Wenjian Luo
  • , Xufa Wang*
  • *Corresponding author for this work
  • University of Science and Technology of China

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Self-Tolerance is a key issue in Hardware Immune Systems. Two novel detector set updating strategies are proposed in this paper as approaches to the self-tolerant problem in Hardware Immune Systems. Compared with previous detector set updating strategies, results of simulation experiments show that the detector sets being updated by the new strategies are less affected by the growing of the self set, and have a better coverage on the non-self space. Moreover, the improvement is notable when the self set is unavailable during the updating of the detector set.

Original languageEnglish
Title of host publicationArtificial Immune Systems - 5th International Conference, ICARIS 2006. Proceedings
PublisherSpringer Verlag
Pages203-214
Number of pages12
ISBN (Print)3540377492, 9783540377498
DOIs
StatePublished - 2006
Externally publishedYes
Event5th International Conference on Artificial Immune Systems, ICARIS 2006 - Oeiras, Portugal
Duration: 4 Sep 20066 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4163 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Artificial Immune Systems, ICARIS 2006
Country/TerritoryPortugal
CityOeiras
Period4/09/066/09/06

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