Title :
Security Analysis for Internet Banking Models
Author :
Dandash, Osama ; Phu Dung Le ; Srinivasan, Bala
Author_Institution :
Monash Univ., Clayton
fDate :
July 30 2007-Aug. 1 2007
Abstract :
Internet banking fraud can be performed internally by genuine staff or externally by customers or suppliers. This paper presents a security analysis of the proposed Internet banking model compared with that of the current existing models used in fraudulent Internet payments detection and prevention. Several modern models in preventing and detecting fraud are evolving and being applied to many banking systems. However, they have no effective detection mechanism to identify legitimate users and trace their unlawful activities. Also they are not secure enough to prevent fraudulent users from performing fraudulent transactions over the Internet. The proposed model facilitates Internet banking fraud detection and prevention (FDP) by applying two new secure mechanisms, dynamic key generation (DKG) and group key (GK).
Keywords :
Internet; banking; fraud; security of data; Internet banking; dynamic key generation; fraudulent Internet payments detection; fraudulent Internet payments prevention; group key; security analysis; Artificial intelligence; Artificial neural networks; Banking; Cryptography; IP networks; Internet; Machine learning algorithms; Performance analysis; Security; Software engineering; Dynamic Key and Group Key mechanisms.; Fraud; Internet banking; Secure model;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.532