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Published in:
2005 | OriginalPaper | Chapter
An Immune-Based Model for Computer Virus Detection
Authors : Tao Li, Xiaojie Liu, Hongbin Li
Published in: Cryptology and Network Security
Publisher: Springer Berlin Heidelberg
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Inspired by biological immune systems, a new immune-based model for computer virus detection is proposed in this paper. Quantitative description of the model is given. A dynamic evolution model for self/nonself description is presented, which reduces the size of self set. Furthermore, an evolutive gene library is introduced to improve the generating efficiency of mature detectors, reducing the system time spending, false-negative and false-positive rates. Experiments show that this model has better time efficiency and detecting ability than the classical model ARTIS.