Interaction-Based Authentication for Dynamic User Interface Adjustment
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Solution Overview
Problem
Existing user authentication methods require frequent credential entry, consuming power and processing resources, and often involve multiple levels of authentication, which further increases resource usage.
Innovation Solution
A system that uses interaction-based authentication, where user interactions with a remote resource are analyzed to calculate a similarity score, allowing the system to dynamically adjust the user interface by adding or removing visual components based on the score's satisfaction of predefined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequent credential entry is required for authentication, then security is improved, but power consumption and processing resource usage increase
Solution Approach 1:
The system performs preliminary authentication by analyzing user interaction patterns (typing cadence, click patterns, scroll behavior) before requiring traditional credential entry. This preliminary action creates an initial trust assessment that can bypass full authentication flows, reducing subsequent power consumption while maintaining security through continuous behavioral monitoring.
Solution Approach 2:
The system uses the user's own interaction patterns with the interface as the authentication mechanism, eliminating the need for separate credential inputs. The user's natural behavior becomes the authentication factor, reducing the frequency and intensity of active authentication processes that consume power and processing resources.
2Reliability
If multiple levels of authentication are applied, then security is improved, but device complexity and processing resource usage increase
Solution Approach 1:
The authentication system is segmented into multiple independent analysis modules: typing pattern analysis, click pattern analysis, scroll behavior analysis, and temporal pattern analysis. Each module independently evaluates specific interaction aspects and contributes to an overall authentication score, replacing complex multi-level authentication with modular, parallel processing that reduces system complexity.
Solution Approach 2:
The interaction analysis system serves multiple functions simultaneously: it monitors user behavior for authentication purposes, tracks engagement metrics for session management, and provides a foundation for future biometric integration. This multi-functionality consolidates what would otherwise require separate authentication systems into a single unified framework.
3Use of energy by moving object
If visual components are removed from user interface based on lack of interaction, then power consumption is reduced, but ease of operation deteriorates
Solution Approach 1:
The user interface dynamically adjusts its composition based on real-time authentication confidence levels. When interaction patterns strongly indicate authorized user presence, non-essential visual components are removed to conserve power. When confidence decreases or interaction patterns change, the interface automatically restores components to maintain accessibility, creating a dynamic balance between power consumption and ease of operation.
Solution Approach 2:
The system continuously monitors user interactions and provides feedback to the interface rendering system. When users attempt to access removed components or exhibit interaction patterns suggesting need for additional controls, the system restores appropriate visual components. This feedback loop ensures that power savings do not compromise user ability to operate the device effectively.
Data Source
AI summary
In some implementations, a server may receive, from a user device, one or more credentials associated with a user. Accordingly, the server may transmit, to the user device, instructions for generating a user interface including a plurality of visual components based on authenticating the user with the one or more credentials. The server may detect, during a first interval, a lack of interaction with the user interface. Accordingly, the server may remove one of the plurality of visual components from the user interface based on the lack of interaction. Additionally, the server may detect, during a second interval, one or more interactions with the user interface and may update a similarity score associated with the user based on properties associated with the one or more interactions. Accordingly, the server may restore the visual component to the user interface based on the updated similarity score satisfying a similarity threshold.