Application of FinTech in internet financial industry risk prevention

Pengfei HU

doi:10.11959/j.issn.2096-0271.2018012

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Application of FinTech in internet financial industry risk prevention

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- Application of FinTech in internet financial industry risk prevention
- Big Data Research Vol. 4, Issue 1, Pages: 2018012(2018)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.2096-0271.2018012
  CLC： TP393
- Online First：2018-01，
  
  Published：15 January 2018
- 稿件说明：
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Pengfei HU. Application of FinTech in internet financial industry risk prevention[J]. Big Data Research, 2018, 4(1): 2018012.
DOI：

Pengfei HU. Application of FinTech in internet financial industry risk prevention[J]. Big Data Research, 2018, 4(1): 2018012. DOI： 10.11959/j.issn.2096-0271.2018012.

摘要

互联网金融领域出现的越来越多的欺诈风险、多头负债等现象，已经严重影响了行业的健康发展。详细分析了互联网金融行业面临的挑战，采用分布式架构设计及API调用技术，设计了一个行业机构间的共享生态系统，并以知识图谱为底层架构，设计了更适用于金融场景的社交网络图谱，构建了反欺诈的风控体系，实现了互联网金融行业数据的互联与互通，有效防范了行业多头负债的发生，提升了行业反欺诈能力。

Abstract

In view of the increasing fraud risk and long-term liabilities appearing in the field of internet finance

the healthy development of the industry has been severely affected.The challenges facing the internet financial industry were analyzed in detail.Based on distributed architecture design and API calling technology

a shared ecosystem between industry organizations was designed.A social network knowledge graph for a financial scene was proposed.The anti-fraud risk control system was designed.The industry’s anti fraud ability was promoted.

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references

ABREU D D , FLORES A , PALMA G , et al . Choosing between graph databases and RDF engines for consuming and mining linked data [C ] // The 4th International Conference on Consuming Linked Data,July 13,2013,Sydney,Australia.Aachen:CEUR-WS.org , 2013 : 37 - 49 .

BORDES A , USUNIER N , WESTON J , et al . Translating embeddings for modeling multi-relational data [C ] // The 26th International Conference on Neural Information Processing Systems,December 5-10,2013,Lake Tahoe,USA.New York:Curran Associates Inc ., 2013 : 2787 - 2795 .

JENATTON R , ROUX N L , BORDES A , et al . A latent factor model for highly multirelational data [C ] // The 25th International Conference on Neural Information Processing Systems,December 3-6,2012,Lake Tahoe,USA.New York:Curran Associates Inc ., 2012 : 3167 - 3175 .

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Related Institution

National Education Examinations Authority

State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China

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School of Computer and Information Technology, Beijing Jiaotong University

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