17932440. MAZE-BASED USER AUTHENTICATION simplified abstract (Capital One Services, LLC)
Contents
MAZE-BASED USER AUTHENTICATION
Organization Name
Inventor(s)
Michael Mossoba of Great Falls VA (US)
Ryan Christopher Farber of Daly City CA (US)
Bryant Yee of Silver Spring MD (US)
MAZE-BASED USER AUTHENTICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17932440 titled 'MAZE-BASED USER AUTHENTICATION
Simplified Explanation
The patent application describes a system that collects behavioral data from a user interacting with a digital maze on a user device, analyzes the data using a machine learning model, and recommends actions for verifying the user's identity based on the analysis.
- The system transmits information to the user device to collect behavioral data during completion of a digital maze.
- The maze includes starting and finishing points, an authentication path, and digital landmarks.
- The system receives the behavioral data and a task identifier, inputs them into a machine learning model, and receives an output.
- Based on the output, the system recommends actions to verify the user's identity.
Potential Applications
This technology could be applied in various industries such as cybersecurity, user authentication, and behavioral analysis for personalized user experiences.
Problems Solved
This technology helps in enhancing security measures by using behavioral data for user verification, improving user experience by personalizing interactions based on behavior, and streamlining authentication processes.
Benefits
The benefits of this technology include increased security, improved user experience, efficient authentication processes, and potential for customization based on user behavior.
Potential Commercial Applications
One potential commercial application of this technology could be in the financial sector for secure online transactions and identity verification.
Possible Prior Art
One possible prior art could be the use of behavioral biometrics for user authentication in various systems and devices.
=== What are the specific machine learning models used in the system for analyzing behavioral data? The patent application does not specify the exact machine learning models used in the system for analyzing behavioral data.
=== How does the system ensure the privacy and security of the collected behavioral data? The patent application does not provide details on the privacy and security measures implemented to protect the collected behavioral data.
Original Abstract Submitted
In some implementations, a system may transmit information that identifies behavioral data to be collected by a user device in connection with completion of a digital maze via user interaction with a user device. The maze may include starting and finishing points and an authentication path therebetween. The maze may include digital landmarks, a subset of which may be along the authentication path. The system may receive the behavioral data, and may provide the behavioral data and a task identifier identifying the maze as a feature set that is input to a machine learning model. The system may receive an output from the machine learning model, and may cause a recommended action to be performed with respect to verifying an identity of a user of the user device based on the output.
