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A Comparative Study on Self-tolerant Strategies for Hardware Immune Systems

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Artificial Immune Systems (ICARIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4163))

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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.

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Wang, X., Luo, W., Wang, X. (2006). A Comparative Study on Self-tolerant Strategies for Hardware Immune Systems. In: Bersini, H., Carneiro, J. (eds) Artificial Immune Systems. ICARIS 2006. Lecture Notes in Computer Science, vol 4163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823940_16

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  • DOI: https://doi.org/10.1007/11823940_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37749-8

  • Online ISBN: 978-3-540-37751-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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