JSW 2013 Vol.8(8): 2087-2094 ISSN: 1796-217X
doi: 10.4304/jsw.8.8.2087-2094
doi: 10.4304/jsw.8.8.2087-2094
Survey of DCA for Abnormal Detection
Lei Ding1, Fei Yu2, Zhenghua Yang1
1School of Information Science and Engineering, Jishou University, Jishou 416000, China
2Jiangsu Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Soochow 215006, P. R. China
Abstract—As a latest immune algorithm, dendritic cell algorithm (DCA) has been successfully applied into the abnormal detection. First, this paper reviewed the research progress of DCA from the following aspects: signal extraction technology, DCA signal processing technology, the decision method for load anomaly judgment, and the application research of DCA. Next, the corresponding solving thoughts for the main problems existing in the DCA were proposed in this paper. Finally, the future research trends of DCA were presented in this paper.
Index Terms—Immune algorithm; DCA; abnormal detection; developing process of DCA.
2Jiangsu Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Soochow 215006, P. R. China
Abstract—As a latest immune algorithm, dendritic cell algorithm (DCA) has been successfully applied into the abnormal detection. First, this paper reviewed the research progress of DCA from the following aspects: signal extraction technology, DCA signal processing technology, the decision method for load anomaly judgment, and the application research of DCA. Next, the corresponding solving thoughts for the main problems existing in the DCA were proposed in this paper. Finally, the future research trends of DCA were presented in this paper.
Index Terms—Immune algorithm; DCA; abnormal detection; developing process of DCA.
Cite: Lei Ding, Fei Yu, Zhenghua Yang, "Survey of DCA for Abnormal Detection," Journal of Software vol. 8, no. 8, pp. 2087-2094, 2013.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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