Details

Autor(en) / Beteiligte

• Wang, Hao
• Wang, Zonghu
• Zhang, Bin
• Zhou, Jun
• Asnafi, Nader

Titel

Information collection for fraud detection in P2P financial market

Ist Teil von

• MATEC Web of Conferences, 2018, Vol.189, p.6006

Ort / Verlag

Les Ulis: EDP Sciences

Erscheinungsjahr

2018

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Fintech companies have been facing challenges from fraudulent behavior for a long time. Fraud rate in Chinese P2P financial market could go as high as 10%. It is crucial to collect sufficient information of the user as input to the anti-fraud process. Data collection framework for Fintech companies are different from conventional internet firms. With individual-based crawling request, we need to deal with new challenges negligible elsewhere. In this paper, we give an outline of how we collect data from the web to facilitate our anti-fraud process. We also overview the challenges and solutions to our problems. Our team at HC Financial Service Group is one of the few companies that are capable of developing full-fledged crawlers on our own.