Anomaly detection using user behavioral biometrics profiling method and apparatus

US12386721B2 · kind B2 · utility

Assignee

• Verizon Patent and Licensing Inc. · US

Inventors

• Bharatwaaj Shankar · Chennai, IN
• Ishi Khamesra · Udaipur, IN
• Subham Biswas · Ashti, IN
• Anne Lourdu Grace Joseph Martin · Chennai, IN
• Malaya Rout · Komangalam, IN
• Venkadesh X. Thirupathi · Chennai, IN
• Navin Dalavai Premkumar · Chennai, IN
• Mohit Kumar · Supaul, IN

Key dates

• Filing date: Aug 4, 2021
• Grant date: Aug 12, 2025
• Expiry date: Aug 9, 2041

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L67/535
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Techniques for determining anomalous user behavior in connection with an online application are disclosed. In one embodiment, a method is disclosed comprising obtaining user behavior data in connection with a user of an application, generating feature data using the obtained user behavior data, obtaining one or more user behavior anomaly predictions from one or more anomaly prediction models trained to output a user behavior anomaly prediction in response to the feature data. Each user behavior anomaly prediction indicates a probability that the user behavior is anomalous. A user behavior anomaly determination is made using the user behavior anomaly prediction(s).