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