Research on linear time detector generating algorithm based on negative selection model

Authors:
Hua Jiang;Xin Wang;XiaoFeng Fan
Affiliations:
School of computer and control of Computer Science, Guilin University of Electronic Technology, Guilin, China and Guangxi Centre, National Software and Integrated Circuit Public Service Platform, ...;School of computer and control of Computer Science, Guilin University of Electronic Technology, Guilin, China and Guangxi Centre, National Software and Integrated Circuit Public Service Platform, ...;School of computer and control of Computer Science, Guilin University of Electronic Technology, Guilin, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

According to negative selection model in artificial immune system, the paper mainly studies and improves initial linear time detector set generating algorithm. The algorithm constructs two arrays C and C' from two directions, then produces array D by cross product so that the detector can match more Nonself strings, and removes redundant detectors, reduces detector set scale, improves its method of design, performance analysis and testing. The results show that the improved algorithm reduces detector scale and probability of missed detection.