A model of collaborative artificial immune system

Authors:
Yang He;Liang Yiwen;Li Tao;Zhou Ting
Affiliations:
Computer School, HuBei University of education, Wuhan, China and Computer School, Wuhan University;Computer School, Wuhan University, Wuhan, China;Computer School, Wuhan University and College of computer Science and Technology, Wuhan University of Science and technology, Wuhan, China;Computer School, Wuhan University, Wuhan, China
Venue:
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
Year:
2010

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Abstract

Malware is becoming a worldwide epidemic. Artificial Immune System is a self-adaptive method for malware detection. However the scalability and coverage problems reduced the detection efficiency of an Artificial Immune System. In order to solve these problems, this paper proposed a model called Collaborative Artificial Immune System. In this model, independent immune bodies in different computers were organized by a virtual structure called Immune Collaborative Body. Immune bodies could share detectors with each other, in order to improve the detection efficiency. A collaborative module was added in every immune body for communication and coordination. The architecture of Immune Collaborative Body and collaborative module were expressed as pseudocode in this paper.