DocumentCode
3682644
Title
Methods and techniques to support the development of fraud detection system
Author
Dhiya Al-Jumeily;Abir Hussain;Áine MacDermott;Gemma Seeckts;Jan Lunn
Author_Institution
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, L3 3AF, UK
fYear
2015
Firstpage
224
Lastpage
227
Abstract
The volume of fraudulent activity is increasing rapidly, with individuals and organisations being at great risk. This paper inspects the various types of fraud and the use of current systems involved in the detection of fraudulent activities across various business sectors. Through research and comparison of existing systems, this paper aims to develop a new fraud detection system which can be used by organisations, to help them detect potentially fraudulent applications. As more day-to-day tasks become feasible online, the opportunity for fraudsters has increased, therefore presenting difficulty to organisations. The proposed system is used to help determine how fraudulent an applicant is, predetermined from their previous online activity. Use of the fraud detection system can help organisations to build a case profiling their applicants, ensuring only their most trustworthy customers are granted financial facilities.
Keywords
"Databases","Companies","Credit cards","Data mining","Data analysis","Government"
Publisher
ieee
Conference_Titel
Systems, Signals and Image Processing (IWSSIP), 2015 International Conference on
ISSN
2157-8672
Electronic_ISBN
2157-8702
Type
conf
DOI
10.1109/IWSSIP.2015.7314217
Filename
7314217
Link To Document