Authors
Mahila Dadfarnia, Fazlollah Adibnia, Mahdi Abadi, Ali Dorri
Publication date
2020/9
Journal
The Journal of Supercomputing
Volume
76
Issue
9
Pages
7416-7437
Publisher
Springer US
Description
An online auction network (OAN) is a community of users who buy or sell items through an auction site. Along with the growing popularity of auction sites, concerns about auction frauds and criminal activities have increased. As a result, fraud detection in OANs has attracted renewed interest from researchers. Since most real OANs are large-scale networks, detecting fraudulent users is usually difficult, especially when multiple users collude with each other and new online auctions are continuously added. Although collusive auction frauds are not as popular as other types of auction frauds, they are more horrible and catastrophic because they often bring huge financial losses. To tackle this issue, some techniques have been proposed to detect collusive frauds in OANs. While all of the techniques have demonstrated promising results, they often suffer from low detection performance or slow convergence, especially …
Total citations
20202021202220231223
Scholar articles
M Dadfarnia, F Adibnia, M Abadi, A Dorri - The Journal of Supercomputing, 2020