Science in China Series F: Information Sciences

, Volume 51, Issue 10, pp 1475–1486

Dynamic detection for computer virus based on immune system


DOI: 10.1007/s11432-008-0125-y

Cite this article as:
Li, T. Sci. China Ser. F-Inf. Sci. (2008) 51: 1475. doi:10.1007/s11432-008-0125-y


Inspired by biological immune system, a new dynamic detection model for computer virus based on immune system is proposed. The quantitative description of the model is given. The problem of dynamic description for self and nonself in a computer virus immune system is solved, which reduces the size of self set. The new concept of dynamic tolerance, as well as the new mechanisms of gene evolution and gene coding for immature detectors is presented, improving the generating efficiency of mature detectors, reducing the false-negative and false-positive rates. Therefore, the difficult problem, in which the detector training cost is exponentially related to the size of self-set in a traditional computer immune system, is thus overcome. The theory analysis and experimental results show that the proposed model has better time efficiency and detecting ability than the classic model ARTIS.


computer virusartificial immune systemnegative selectionclonal selectionimmune memory

Copyright information

© Science in China Press and Springer-Verlag GmbH 2008

Authors and Affiliations

  1. 1.School of Computer ScienceSichuan UniversityChengduChina