DocumentCode
3232293
Title
Security Analysis for Internet Banking Models
Author
Dandash, Osama ; Phu Dung Le ; Srinivasan, Bala
Author_Institution
Monash Univ., Clayton
Volume
3
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
1141
Lastpage
1146
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SNPD.2007.532
Filename
4288021
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