Adaptive User Authentication Context Selection
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Solution Overview
Problem
Current speech recognition systems lack adaptive user authentication mechanisms that can dynamically select appropriate authentication techniques based on contextual factors such as location, noise levels, and user proximity, leading to potential security vulnerabilities and inefficient authentication processes.
Innovation Solution
A system that integrates adaptive user authentication by selecting from various authentication techniques, such as speech-based, image-based, or biometric methods, based on contextual data, ensuring that the selected method meets the required authentication threshold for specific user inputs and device configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed authentication method is used, then the authentication process is simple, but the security and adaptability to different contexts are reduced
Solution Approach 1:
The system dynamically selects authentication methods based on contextual factors such as user proximity, noise levels, and location. The authentication approach transitions from static to adaptive, choosing between speech-based, image-based, or biometric methods depending on real-time environmental conditions and security requirements.
Solution Approach 2:
The system changes authentication parameters (method selection, threshold requirements) based on contextual inputs. When noise levels are high, the system may switch from speech-based to image-based authentication. When users are far from the device, more robust authentication methods are selected, thereby adapting to varying conditions without requiring a completely complex system architecture.
2Reliability
If multiple authentication techniques are always used, then security is improved, but the authentication process becomes slower and more complex
Solution Approach 1:
The system applies partial authentication actions by selecting only the necessary authentication method(s) for each specific context rather than always applying all available methods. This reduces authentication time while maintaining security by using speech-based authentication for close, quiet interactions and adding image-based or biometric verification only when contextually required.
Solution Approach 2:
The system performs preliminary assessment of contextual factors (user proximity, noise levels, location) before selecting the authentication method. This preliminary action enables the system to pre-determine the appropriate authentication approach, avoiding unnecessary authentication steps and reducing overall authentication time while maintaining security.
3Productivity
If speech-based authentication is used in noisy environments, then the authentication process is fast, but the accuracy and reliability decrease
Solution Approach 1:
The system uses feedback from environmental sensors (noise level detectors, microphones, cameras) to continuously monitor conditions during the authentication process. When noise levels exceed thresholds, the system receives feedback indicating degraded speech recognition accuracy and automatically switches to alternative authentication methods such as image-based or biometric verification, thereby maintaining reliability while preserving speed through automated adaptive response.
Data Source
AI summary
Systems, methods, and devices for adaptably authenticating a user are disclosed. A device captures a user input, and sends data corresponding thereto to a system. The system determines natural language understanding (NLU) results representing the user input. A user authentication component of the system receives the NLU results and determines a skill configured to perform an action responsive to the user input. The user authentication component adaptably performs user authentication based on a user authentication condition associated with the skill. If the user can be authenticated to the satisfaction of the condition, the NLU results data are sent to the skill, along with an indicator representing the user was authenticated by the system.