Dissecting computer fraud : from definitional issues to a taxonomy

Vasiu, Lucian and Vasiu, Ioana 2004, Dissecting computer fraud : from definitional issues to a taxonomy, in HICSS 2004 : Proceedings of the 37th Annual Hawaii International Conference on System Sciences, IEEE Computer Society, Los Alamitos, Calif., pp. 1-8.

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Title Dissecting computer fraud : from definitional issues to a taxonomy
Author(s) Vasiu, Lucian
Vasiu, Ioana
Conference name Hawaii International Conference on System Sciences (37th : 2004 : Hawaii)
Conference location Hawaii
Conference dates 5-8 Jan. 2004
Title of proceedings HICSS 2004 : Proceedings of the 37th Annual Hawaii International Conference on System Sciences
Editor(s) Sprague Jr., Ralph H.
Publication date 2004
Conference series Hawaii International Conference on System Sciences
Start page 1
End page 8
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Summary Computer frauds, while less dramatic than crimes of violence, can inflict significant damage at community, organizational or individual level. In order to properly quantify and mitigate the risk, computer frauds needs to be well understood. In this paper, in a conceptual-analytical research approach, we propose a dissection of computer fraud. First, we look into the elements of an offense, the act of fraud in general, than explain what is and what is not computer fraud. Next, from a prevention perspective, we propose a taxonomy of computer fraud with respect to perpetration platform, and to perpetration method. We believe that our contributions extend the existing knowledge of the phenomenon, and can assist those fighting computer fraud to better understand it and to design means of preventing and reporting it.
ISBN 0769520561
Language eng
Field of Research 080699 Information Systems not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2004, IEEE Computer Society
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005305

Document type: Conference Paper
Collection: School of Information and Business Analytics
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