Title :
A model of Collaborative Artificial Immune System
Author :
He, Yang ; Yiwen, Liang ; Tao, Li ; Ting, Zhou
Author_Institution :
Comput. Sch., HuBei Univ. of Educ., Wuhan, China
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.
Keywords :
artificial immune systems; invasive software; collaborative artificial immune system; collaborative module; detection efficiency; immune body; immune collaborative body; independent immune bodies; malware detection; self-adaptive method; virtual structure; Artificial immune systems; Asia; Collaboration; Collaborative software; Computer security; Educational technology; Immune system; Informatics; Robotics and automation; Scalability; Collaborative Artificial Immune System; computer security; malware detection formatting;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456638
