TY - GEN
T1 - A preliminary study on why using the nonself detector set for anomaly detection in artificial immune Systems
AU - Xu, Baoliang
AU - Luo, Wenjian
AU - Wang, Xufa
PY - 2009
Y1 - 2009
N2 - In artificial immune systems, the detectors in the nonself space are often adopted to detect anomaly changes, such as the negative selection algorithm and its improvements. Since the detectors in the self space can also be used to detect anomaly changes, a frequently asked question is which kind of detector sets is more efficient for a specific problem. In this paper, firstly, the advantages and disadvantages of the self detector set and the nonself detector set are briefly reviewed. Secondly, when the complete matching rule is adopted, the average time costs of employing the nonself detector set and the self detector set for anomaly detection are compared theoretically. Thirdly, simulated experiments are done, and experimental results demonstrate that the theoretical conclusion is essentially correct.
AB - In artificial immune systems, the detectors in the nonself space are often adopted to detect anomaly changes, such as the negative selection algorithm and its improvements. Since the detectors in the self space can also be used to detect anomaly changes, a frequently asked question is which kind of detector sets is more efficient for a specific problem. In this paper, firstly, the advantages and disadvantages of the self detector set and the nonself detector set are briefly reviewed. Secondly, when the complete matching rule is adopted, the average time costs of employing the nonself detector set and the self detector set for anomaly detection are compared theoretically. Thirdly, simulated experiments are done, and experimental results demonstrate that the theoretical conclusion is essentially correct.
KW - Evolutionary negative selection algorithm
KW - Negative selection algorithm
KW - Nonself
KW - Self
UR - https://www.scopus.com/pages/publications/77949293281
U2 - 10.1109/CIS.2009.165
DO - 10.1109/CIS.2009.165
M3 - 会议稿件
AN - SCOPUS:77949293281
SN - 9780769539317
T3 - CIS 2009 - 2009 International Conference on Computational Intelligence and Security
SP - 559
EP - 564
BT - CIS 2009 - 2009 International Conference on Computational Intelligence and Security
T2 - 2009 International Conference on Computational Intelligence and Security, CIS 2009
Y2 - 11 December 2009 through 14 December 2009
ER -