AR Authentication via Dynamic Context Questions
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Solution Overview
Problem
Conventional authentication systems burden users with enrollment phases and memory requirements, leading to frustration and security vulnerabilities, as they often rely on static knowledge-based methods that are prone to forgetfulness and malicious attacks.
Innovation Solution
An augmented reality (AR) system captures image data to generate dynamic authentication questions based on object data, such as object type, location, or time of acquisition, reducing the need for user interaction and memory burdens, and enhancing security by using recently acquired information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional static knowledge-based authentication methods are used, then users can authenticate with simple memorized information, but the system becomes vulnerable to malicious attacks and users suffer from forgetfulness and frustration
Solution Approach 1:
The authentication system transitions from static predetermined questions to dynamic context-specific questions generated from AR-captured images. The questions adapt based on the user's current environment, objects detected, location, and time, making the authentication process both more secure and naturally memorable for users.
Solution Approach 2:
The AR system automatically captures images and generates authentication questions without requiring user input during enrollment. The system self-provides the authentication challenges based on environmental data, eliminating the burden of user setup while maintaining security.
2Reliability
If dynamic context-specific authentication questions are generated from AR image data, then security is enhanced and user burden is reduced, but the system complexity increases
Solution Approach 1:
The AR system performs multiple functions: capturing images for authentication, detecting objects in the environment, determining location and time, and generating authentication questions. By consolidating these functions into a single multi-functional system, the complexity is managed more efficiently than having separate systems for each function.
Solution Approach 2:
The AR system continuously captures and processes environmental images in advance, maintaining a ready pool of authentication data. This preliminary action ensures that when authentication is needed, questions can be generated immediately from pre-captured context-specific data, reducing real-time processing complexity.
Data Source
AI summary
In some embodiments, an authentication prompt may be generated based on (i) an object, detected in an image stream of an environment of a user, satisfying one or more criteria and (ii) object data associated with the detected object. The criteria may include (i) the object being in a plurality of different samples and (ii) the object being in a first spatial region of a first sample of the different samples, where the first spatial region of the first sample is a spatial region at which the user looked. An authentication response may be obtained from a user device of the user in connection with the authentication prompt, and the user may be authenticated based on the authentication response obtained from the user device.