DocumentCode :
3240903
Title :
Artificial Dendritic Cells Algorithm for Online Break-In Fraud Detection
Author :
Huang, R. ; Tawfik, H. ; Nagar, A.K.
Author_Institution :
Deanery of Bus. & Comput. Sci., Liverpool Hope Univ., Liverpool, UK
fYear :
2009
fDate :
14-16 Dec. 2009
Firstpage :
181
Lastpage :
189
Abstract :
An Artificial Immune System based on Dendritic Cells is recently established and has been applied in a number of applications in computer security. The main goal of this paper is to apply Dendritic Cells Algorithm to detect the online break-in fraud for an Online Video on Demand System. Sensitivity analysis for parameters gave different versions of DCA, including different DCs, antigen multiplier, antigen receptors, and migration threshold are presented in the paper. The results not only suggest the DCA is applicable to fraud detection, but also when compared with NSA, DCA shown compromising accuracy with high detection rate, low false alarm and handle high dimensional data set better.
Keywords :
artificial immune systems; computer network security; electronic commerce; fraud; sensitivity analysis; video on demand; antigen multiplier; antigen receptors; artificial Dendritic cells algorithm; artificial immune system; computer security; migration threshold; online break-in fraud detection; online video on demand system; sensitivity analysis; Application software; Artificial immune systems; Computer security; Distributed control; Sensitivity analysis; Video on demand; Artificial Dendritic Cells Algorithm; Break-in; Danger Theory; Fraud Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Developments in eSystems Engineering (DESE), 2009 Second International Conference on
Conference_Location :
Abu Dhabi
Print_ISBN :
978-1-4244-5401-3
Electronic_ISBN :
978-1-4244-5402-0
Type :
conf
DOI :
10.1109/DeSE.2009.59
Filename :
5395108
Link To Document :
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