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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/616

Title: Social Network Analysis In Analyzing Potential Fraudster
Authors: binti Ab Raub, Rosmawati
Hamzah bin Nor Hamzah, Azmirul
binti Mohamad, Azizan
Fuad bin Mohamed Bandi, Ahmad
binti Hasan, Suriah
bin Abdullah, Sahirman
Daud bin Jaafar, Mohd
Issue Date: 17-Jun-2007
Publisher: the International Conference on Electrical Engineering and Informatics Institut Teknologi Bandung
Abstract: Since the tragic events of the September 11, 2001 attacks in the United States, social network analysis has increasingly been used to study terrorist networks. Traditionally, crime investigators used investigation tools that are widely available in the market to provide graphical representation of the data network. Terrorism, together with such crimes as drug trafficking, armed robberies and fraud is called organized crime. This paper proposes social network analysis for identifying potential fraudster in telecommunication. Effectively combining multiple sources of data can lead fraud analysts to discover patterns in order to help them be more proactive in their investigations.
URI: http://hdl.handle.net/123456789/616
Appears in Collections:E-Journal Komputer

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