IN2015CH00232A - - Google Patents
Info
- Publication number
- IN2015CH00232A IN2015CH00232A IN232CH2015A IN2015CH00232A IN 2015CH00232 A IN2015CH00232 A IN 2015CH00232A IN 232CH2015 A IN232CH2015 A IN 232CH2015A IN 2015CH00232 A IN2015CH00232 A IN 2015CH00232A
- Authority
- IN
- India
- Prior art keywords
- processor
- suspected transaction
- suspected
- transaction
- fraudulent activity
- Prior art date
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
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)
Abstract
An organizational fraud detection (OFD) system and method for flagging one or more transactions as a potential fraudulent activity, in an organization is disclosed. The OFD system comprises: a processor; and a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, cause the processor to: receive a suspected transaction for investigation, classify the suspected transaction into one or more groups of fraudulent activity; select, based on the classification, a set of investigation rules for investigating the suspected transaction; determine, based on data selection rules, the data associated with the suspected transaction; ascertain an accuracy score and an impact score associated with the suspected transaction; and classify the suspected transaction as a potential fraudulent activity on at least one of the accuracy score and the impact score exceeding a pre-defined threshold.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN232CH2015 IN2015CH00232A (en) | 2015-01-15 | 2015-01-15 | |
US14/661,298 US20160210631A1 (en) | 2015-01-15 | 2015-03-18 | Systems and methods for flagging potential fraudulent activities in an organization |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN232CH2015 IN2015CH00232A (en) | 2015-01-15 | 2015-01-15 |
Publications (1)
Publication Number | Publication Date |
---|---|
IN2015CH00232A true IN2015CH00232A (en) | 2015-09-18 |
Family
ID=54393552
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
IN232CH2015 IN2015CH00232A (en) | 2015-01-15 | 2015-01-15 |
Country Status (2)
Country | Link |
---|---|
US (1) | US20160210631A1 (en) |
IN (1) | IN2015CH00232A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113870009A (en) * | 2021-09-30 | 2021-12-31 | 浙江创邻科技有限公司 | Anti-money laundering management and control method, device and system based on graph database and storage medium |
Families Citing this family (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10528948B2 (en) * | 2015-05-29 | 2020-01-07 | Fair Isaac Corporation | False positive reduction in abnormality detection system models |
US10367905B2 (en) | 2015-10-22 | 2019-07-30 | The Western Union Company | Integration framework and user interface for embedding transfer services into applications |
US10496992B2 (en) * | 2015-11-24 | 2019-12-03 | Vesta Corporation | Exclusion of nodes from link analysis |
US20230316284A1 (en) | 2016-03-25 | 2023-10-05 | State Farm Mutual Automobile Insurance Company | Reducing false positives using customer data and machine learning |
US11170375B1 (en) | 2016-03-25 | 2021-11-09 | State Farm Mutual Automobile Insurance Company | Automated fraud classification using machine learning |
US10129274B2 (en) * | 2016-09-22 | 2018-11-13 | Adobe Systems Incorporated | Identifying significant anomalous segments of a metrics dataset |
US20180158063A1 (en) * | 2016-12-05 | 2018-06-07 | RetailNext, Inc. | Point-of-sale fraud detection using video data and statistical evaluations of human behavior |
US10721336B2 (en) * | 2017-01-11 | 2020-07-21 | The Western Union Company | Transaction analyzer using graph-oriented data structures |
US20180308099A1 (en) * | 2017-04-19 | 2018-10-25 | Bank Of America Corporation | Fraud Detection Tool |
EP4369275A3 (en) | 2017-06-30 | 2024-07-24 | Equifax, Inc. | Detecting synthetic online entities facilitated by primary entities |
US10965696B1 (en) * | 2017-10-30 | 2021-03-30 | EMC IP Holding Company LLC | Evaluation of anomaly detection algorithms using impersonation data derived from user data |
US11038886B1 (en) * | 2018-02-08 | 2021-06-15 | Wells Fargo Bank, N.A. | Compliance management system |
US20200151824A1 (en) | 2018-11-13 | 2020-05-14 | QuarterSpot Inc. | Predicting entity outcomes using taxonomy classifications of transactions |
US20200258181A1 (en) * | 2019-02-13 | 2020-08-13 | Yuh-Shen Song | Intelligent report writer |
CN110413707A (en) * | 2019-07-22 | 2019-11-05 | 百融云创科技股份有限公司 | The excavation of clique's relationship is cheated in internet and checks method and its system |
US10607080B1 (en) * | 2019-10-25 | 2020-03-31 | 7-Eleven, Inc. | Feedback and training for a machine learning algorithm configured to determine customer purchases during a shopping session at a physical store |
US11947643B2 (en) * | 2019-12-26 | 2024-04-02 | Rakuten Group, Inc. | Fraud detection system, fraud detection method, and program |
EP3866087A1 (en) * | 2020-02-12 | 2021-08-18 | KBC Groep NV | Method, use thereoff, computer program product and system for fraud detection |
US11765221B2 (en) | 2020-12-14 | 2023-09-19 | The Western Union Company | Systems and methods for adaptive security and cooperative multi-system operations with dynamic protocols |
US11916753B2 (en) | 2021-07-30 | 2024-02-27 | Ciena Corporation | Governance and interactions of autonomous pipeline-structured control applications |
US20240144275A1 (en) * | 2022-10-28 | 2024-05-02 | Hint, Inc. | Real-time fraud detection using machine learning |
WO2024113317A1 (en) * | 2022-12-01 | 2024-06-06 | Paypal, Inc. | Computer-based systems and methods for building and implementing attack narrative tree to improve successful fraud detection and prevention |
CN117914919B (en) * | 2024-03-20 | 2024-05-24 | 江苏中威科技软件系统有限公司 | Device for detecting communication tool in OFD file |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7610216B1 (en) * | 2000-07-13 | 2009-10-27 | Ebay Inc. | Method and system for detecting fraud |
US8082349B1 (en) * | 2005-10-21 | 2011-12-20 | Entrust, Inc. | Fraud protection using business process-based customer intent analysis |
US8600872B1 (en) * | 2007-07-27 | 2013-12-03 | Wells Fargo Bank, N.A. | System and method for detecting account compromises |
US8793758B2 (en) * | 2009-01-28 | 2014-07-29 | Headwater Partners I Llc | Security, fraud detection, and fraud mitigation in device-assisted services systems |
US8805737B1 (en) * | 2009-11-02 | 2014-08-12 | Sas Institute Inc. | Computer-implemented multiple entity dynamic summarization systems and methods |
WO2011112752A1 (en) * | 2010-03-09 | 2011-09-15 | Alejandro Diaz Arceo | Electronic transaction techniques implemented over a computer network |
-
2015
- 2015-01-15 IN IN232CH2015 patent/IN2015CH00232A/en unknown
- 2015-03-18 US US14/661,298 patent/US20160210631A1/en not_active Abandoned
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113870009A (en) * | 2021-09-30 | 2021-12-31 | 浙江创邻科技有限公司 | Anti-money laundering management and control method, device and system based on graph database and storage medium |
Also Published As
Publication number | Publication date |
---|---|
US20160210631A1 (en) | 2016-07-21 |
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