A survey of artificial immune system based intrusion detection.
In the area of computer security, Intrusion Detection (ID) is a mechanism that attempts to discover abnormal access to computers by analyzing various interactions. There is a lot of literature about ID, but this study only surveys the approaches based on Artificial Immune System (AIS). The use of AIS in ID is an appealing concept in current techniques. This paper summarizes AIS based ID methods from a new view point; moreover, a framework is proposed for the design of AIS based ID Systems (IDSs). This framework is analyzed and discussed based on three core aspects: antibody/antigen encoding, generation algorithm, and evolution mode. Then we collate the commonly used algorithms, their implementation characteristics, and the development of IDSs into this framework. Finally, some of the future challenges in this area are also highlighted.
College of Computer Science, Sichuan University, Chengdu 610064, China ; Computer School, China West Normal University, Nanchong 637002, China.
Hua
0000-0001-8177-2157
H
Yang
College of Computer Science, Sichuan University, Chengdu 610064, China.
Tao
T
Li
College of Computer Science, Sichuan University, Chengdu 610064, China.
Xinlei
X
Hu
College of Computer Science, Sichuan University, Chengdu 610064, China.
Feng
F
Wang
College of Computer Science, Sichuan University, Chengdu 610064, China.
Yang
Y
Zou
D000465:Algorithms; D001185:Artificial Intelligence; D016494:Computer Security; D006801:Humans