Fraud Prevention Systems is a computational framework designed to detect, mitigate, and deter unauthorized or deceptive transactions in online retail environments by analyzing behavioral patterns, transactional data, and risk indicators to distinguish legitimate from fraudulent activities in real time.
109
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4.8K
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327
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151
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2017–2026
50
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Publications
109
Effective detection of sophisticated online banking fraud on extremely imbalanced data
Wei Wei, Longbing Cao, Yuming Ou et al. · World Wide Web · 2012 · 325 citations
Detecting Fake Websites: The Contribution of Statistical Learning Theory1
Zhang, David Zimbra, Chen et al. · MIS Quarterly · 2010 · 211 citations
Data engineering for fraud detection
Bart Baesens, Sebastiaan Höppner, Tim Verdonck · Decision Support Systems · 2021 · 153 citations · Full text
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1–5 of 327
Institutions
151
Islamic University of Indonesia
Yogyakarta, Indonesia
2 h-index
2 publications
54 citations
Taylor's University
Subang Jaya, Malaysia
2 h-index
2 publications
104 citations
University of Aizu
Fukushima, Japan
2 h-index
2 publications
70 citations
Monash University
Melbourne, Australia
2 h-index
4 publications
52 citations
Teesside University
Middlesbrough, United Kingdom
2 h-index
3 publications
317 citations
Alibaba Group (China)
Hangzhou, China
2 h-index
11 publications
481 citations
University of Surrey
Guildford, United Kingdom
2 h-index
2 publications
109 citations
IBM (United States)
Armonk, United States
2 h-index
7 publications
135 citations
1–8 of 151
Venues
- Expert Systems with Applications
4 publications · 258 citations
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- Journal of Financial Crime
3 publications · 214 citations
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- Choice Reviews Online
CRO · 2 publications · 137 citations
2
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- Computers & Security
2 publications · 131 citations
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- Decision Support Systems
2 publications · 191 citations
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