EP3574462A1 - Detection automatique de fraudes dans un flux de transactions de paiement par reseaux de neurones integrant des informations contextuelles - Google Patents
Detection automatique de fraudes dans un flux de transactions de paiement par reseaux de neurones integrant des informations contextuellesInfo
- Publication number
- EP3574462A1 EP3574462A1 EP17832295.4A EP17832295A EP3574462A1 EP 3574462 A1 EP3574462 A1 EP 3574462A1 EP 17832295 A EP17832295 A EP 17832295A EP 3574462 A1 EP3574462 A1 EP 3574462A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- contextual information
- transactions
- transaction
- classification system
- frauds
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4016—Transaction verification involving fraud or risk level assessment in transaction processing
Definitions
- the present invention relates to a mechanism for detecting anomalies in a bank transaction flow. It applies in particular to the detection of fraud.
- the model works the opposite: the input of the network is a word wi and Word2Vec predicts the context around this word: wi-2, wi-1, wi + 1, wi 2.
- Word2Vec is very fast and can be further accelerated using parallel learning techniques.
- training on Wikipedia's corpus can take around 90 minutes with a personal computer equipped with a quad-core processor Intel brand running at 4x3.4 GHz, and a memory of 16 GB.
- the node succ (x) of the node x is chosen randomly and uniformly equally among the adjacent nodes, that is to say with a uniform probability equal to 1 / Edges0f (x), with "EdgesOf (x)" a function returning the number of links of the node x, that is to say the number of links in the vector vk.
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Computer Security & Cryptography (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1750737A FR3062504A1 (fr) | 2017-01-30 | 2017-01-30 | Detection automatique de fraudes dans un flux de transaction de paiement par reseaux de neurones integrant des informations contextuelles |
PCT/FR2017/053819 WO2018138423A1 (fr) | 2017-01-30 | 2017-12-22 | Detection automatique de fraudes dans un flux de transactions de paiement par reseaux de neurones integrant des informations contextuelles |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3574462A1 true EP3574462A1 (fr) | 2019-12-04 |
Family
ID=59409392
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP17832295.4A Ceased EP3574462A1 (fr) | 2017-01-30 | 2017-12-22 | Detection automatique de fraudes dans un flux de transactions de paiement par reseaux de neurones integrant des informations contextuelles |
Country Status (4)
Country | Link |
---|---|
EP (1) | EP3574462A1 (zh) |
CN (1) | CN110226179A (zh) |
FR (1) | FR3062504A1 (zh) |
WO (1) | WO2018138423A1 (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11900382B2 (en) | 2020-09-29 | 2024-02-13 | Mastercard International Incorporated | Method and system for detecting fraudulent transactions |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109783637A (zh) * | 2018-12-12 | 2019-05-21 | 国网浙江省电力有限公司杭州供电公司 | 基于深度神经网络的电力检修文本挖掘方法 |
US11403643B2 (en) * | 2020-01-24 | 2022-08-02 | Adobe Inc. | Utilizing a time-dependent graph convolutional neural network for fraudulent transaction identification |
CN111899085A (zh) * | 2020-06-15 | 2020-11-06 | 东方微银科技(北京)有限公司 | 一种身份交叉验证方法及装置 |
EP4172902A4 (en) * | 2020-06-30 | 2024-05-29 | Stripe, Inc. | MACHINE LEARNING INFRASTRUCTURE AND METHOD FOR ITS USE |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5822741A (en) * | 1996-02-05 | 1998-10-13 | Lockheed Martin Corporation | Neural network/conceptual clustering fraud detection architecture |
EP1450321A1 (de) * | 2003-02-21 | 2004-08-25 | Swisscom Mobile AG | Verfahren und System zur Aufdeckung von möglichen Betrügen in Zahlungstransaktionen |
US20150339672A1 (en) * | 2014-08-08 | 2015-11-26 | Brighterion, Inc. | Automation tool development method for building computer fraud management applications |
US20160086185A1 (en) * | 2014-10-15 | 2016-03-24 | Brighterion, Inc. | Method of alerting all financial channels about risk in real-time |
US9552548B1 (en) * | 2016-07-01 | 2017-01-24 | Intraspexion Inc. | Using classified text and deep learning algorithms to identify risk and provide early warning |
-
2017
- 2017-01-30 FR FR1750737A patent/FR3062504A1/fr active Pending
- 2017-12-22 CN CN201780084871.8A patent/CN110226179A/zh active Pending
- 2017-12-22 WO PCT/FR2017/053819 patent/WO2018138423A1/fr unknown
- 2017-12-22 EP EP17832295.4A patent/EP3574462A1/fr not_active Ceased
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11900382B2 (en) | 2020-09-29 | 2024-02-13 | Mastercard International Incorporated | Method and system for detecting fraudulent transactions |
Also Published As
Publication number | Publication date |
---|---|
WO2018138423A1 (fr) | 2018-08-02 |
FR3062504A1 (fr) | 2018-08-03 |
CN110226179A (zh) | 2019-09-10 |
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Inventor name: ZWICKLBAUER, STEFAN Inventor name: GRANITZER, MICHAEL Inventor name: CAELEN, OLIVIER Inventor name: HE-GUELTON, LIYUN Inventor name: GARCHERY, MATHIEU Inventor name: ZIEGLER, KONSTANTIN |
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