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TitAnt: Online realtime transaction fraud detection in ant financial

  • Shaosheng Cao*
  • , Xin Xing Yang
  • , Cen Chen
  • , Jun Zhou
  • , Xiaolong Li
  • , Yuan Qi
  • *此作品的通讯作者
  • Ant Group

科研成果: 期刊稿件会议文章同行评审

摘要

With the explosive growth of e-commerce and the booming of e-payment, detecting online transaction fraud in real time has become increasingly important to Fintech business. To tackle this problem, we introduce the TitAnt, a transaction fraud detection system deployed in Ant Financial, one of the largest Fintech companies in the world. The system is able to predict online real-time transaction fraud in mere milliseconds. We present the problem definition, feature extraction, detection methods, implementation and deployment of the system, as well as empirical effectiveness. Extensive experiments have been conducted on large real-world transaction data to show the effectiveness and the efficiency of the proposed system.

源语言英语
页(从-至)2082-2093
页数12
期刊Proceedings of the VLDB Endowment
12
12
DOI
出版状态已出版 - 2018
已对外发布
活动45th International Conference on Very Large Data Bases, VLDB 2019 - Los Angeles, 美国
期限: 26 8月 201730 8月 2017

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