Detecting anomalous user activity

US9710857B2 · kind B2 · utility

Assignee

• SAP SE · DE

Inventors

• Ulrich Flegel · Karlsruhe, DE
• Shane Bracher · Ivanhoe, AU
• Pascal Hochwarth · Radevormwald, DE
• Hermann Resch · Heidelberg, DE
• Paola Sala · Heidelberg, DE
• Stephan Wollny · Schwetzingen, DE
• Hua Wang · Milpitas, US
• Andrew Clark · Forsayth, AU
• George Mohay · Forsayth, AU
• Roheena Khan · Forsayth, AU
• Malcolm Corney · Forsayth, AU

Key dates

• Filing date: Nov 19, 2010
• Grant date: Jul 18, 2017
• Expiry date: Feb 28, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q40/06
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems, methods and articles for determining anomalous user activity are disclosed. Data representing a transaction activity corresponding to a plurality of user transactions can be received and user transactions can be grouped according to types of user transactions. The transaction activity can be determined to be anomalous in relation to the grouped user transactions based on a predetermined parameter.