Abstract
Biologically-inspired artificial immune systems (AIS) have been applied to computer virus detection systems (CVDS). An agent-based CVDS based on danger theory of human immune system is proposed. The intelligence behind such system is based on the functionality of dendritic cells in human immune systems. This paper embeds multiple agents into AIS-based virus detection system, where each agent coordinates one another to calculate mature context antigen value (MCAV). According to MCAV, computer host met with malicious intrusion can be effectively detected.
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Ou, CM., Ou, C.R. (2010). Agent-Based Immunity for Computer Virus: Abstraction from Dendritic Cell Algorithm with Danger Theory. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_69
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DOI: https://doi.org/10.1007/978-3-642-13067-0_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13066-3
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