A model of Collaborative Artificial Immune System

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.