Artificial Dendritic Cells Algorithm for Online Break-In Fraud Detection

• Published in: 2009 Second International Conference on Developments in eSystems Engineering pp. 181 - 189
• Main Authors: Huang, R., Tawfik, H., Nagar, A.K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2009
• Subjects: Application software; Artificial Dendritic Cells Algorithm; Artificial immune systems; Break-in; Computer security; Danger Theory; Distributed control; Fraud Detection; Sensitivity analysis; Video on demand
• ISBN: 1424454018; 9781424454013
• DOI: 10.1109/DeSE.2009.59

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.