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

  • Authors:
  • Xin Wang;Wenjian Luo;Xufa Wang

  • Affiliations:
  • Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China;Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China;Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China

  • Venue:
  • ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.