An Outlier Robust Negative Selection Algorithm Inspired by Immune Suppression

doi:10.4304/jcp.5.9.1348-1355

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About The Authors

Guiyang Li
School of Computer Science, Sichuan University, Chengdu
China

Received the M.S. degree from computer science of Southwest Jiaotong University in 2002 and is currently working toward the Ph.D. degree in computer science at Sichuan University, China. He is also an instructor in the Department of Computer Science, Sichuan Normal University, China. He is actively involved in the development of network security. His current areas of interest include artificial immune computation, network security

Tao Li
School of Computer Science, Sichuan University, Chengdu
China

Received the Ph.D. degree in Computer Science from University of Electronic Science and Technology of China in 1994. From 1994 to 1995, he was a visiting scholar in University of California at Berkeley for neural networks theory. Now, he is the professor in the Department of Computer Science at Sichuan University, China. His current research interests include network security, artificial immune theory and disaster recovery application

Jie Zeng
School of Computer Science, Sichuan University, Chengdu
China

Received the M.S. degree in computer science in 2006 and is currently working toward the Ph.D. degree in computer science at Sichuan University, China. His current areas of interest include artificial immune computation, network security

Haibo Li
School of Computer Science, Sichuan University, Chengdu
China

Received the M.S. degree in computer science in 2007 and is currently working toward the Ph.D. degree in computer science at Sichuan University, China. His current areas of interest include artificial immune computation, network security

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Journal of Computers (JCP, ISSN 1796-203X)

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