- 专利标题: TRANSPILATION OF FRAUD DETECTION RULES TO NATIVE LANGUAGE SOURCE CODE
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申请号: US16567352申请日: 2019-09-11
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公开(公告)号: US20200082079A1公开(公告)日: 2020-03-12
- 发明人: Yi Wei Tseng , Randy Lukashuk , Perry McGee , Amiran Gigiberia , Andrew Giblin , Kenny Wan , Andrian Sevastyanov
- 申请人: MASTERCARD TECHNOLOGIES CANADA ULC
- 主分类号: G06F21/56
- IPC分类号: G06F21/56 ; G06F8/51 ; G06F21/55
摘要:
Systems, methods, devices, and computer readable media related to fraud detection. Fraud detection is achieved using a flexible scripting language and syntax that simplifies the generation of fraud detection rules. The rules are structured as conditional IF-THEN statements that include data objects referred to as Anchors and Add-Ons. The Anchors and Add-Ons used to generate the rules also correspond to a distinct data path for the retrieval data from any of a variety of data sources. The generated rules with distinct data paths are then converted using a transpiler from the scripting language into native language source code (e.g., PHP, Java, etc.) for deployment in a particular environment. The rules are then executed in real-time in the environment to detect potential fraudulent activity.
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