AI Driver Re-Authentication Using Vehicle Speed-Adaptive Checks
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Solution Overview
Problem
Current digital-key-based driver authentication systems pose safety threats while the vehicle is moving and do not effectively prevent unauthorized use, especially in car-sharing scenarios where digital keys can be shared or stolen.
Innovation Solution
An electronic device mounted on a vehicle uses an AI-based authentication process, including a first authentication module to determine valid users, a control module to select between low-speed and high-speed authentication processes based on vehicle speed, and a second authentication module to re-authenticate drivers safely, thereby preventing unauthorized vehicle use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital-key-based driver authentication is used, then driver authentication is simplified and can be performed based on body motion, but safety threats arise while the vehicle is moving and unauthorized use cannot be prevented
Solution Approach 1:
The system performs repeated authentication checks at predetermined time intervals during vehicle operation. The authentication module continuously validates the driver's identity by processing sensing data periodically, ensuring that unauthorized use is detected and prevented while maintaining convenient operation throughout the journey
Solution Approach 2:
The system uses sensing data from sensors to provide continuous feedback about the driver's identity and authentication status. This feedback loop allows the system to detect changes in driver identity and respond by re-authenticating or alerting authorized users, thereby maintaining security without compromising ease of operation
2Measurement precision
If biometric identification is used for driver authentication, then authentication accuracy is improved, but the system is vulnerable to theft and cannot block drivers who change after initial authentication
Solution Approach 1:
The system performs repeated authentication checks at predetermined time intervals during vehicle operation. The authentication module continuously validates the driver's identity by processing sensing data periodically, ensuring that unauthorized use is detected and prevented while maintaining convenient operation throughout the journey
Solution Approach 2:
The system establishes baseline authentication criteria during initial biometric identification and then uses these criteria to perform preliminary checks before allowing vehicle operation. This preliminary authentication framework enables the system to quickly verify driver identity changes without requiring full re-authentication, balancing security with operational efficiency
3Reliability
If repeated authentication is implemented to prevent unauthorized use, then authentication security is improved, but system complexity and processing time increase
Solution Approach 1:
The system performs repeated authentication checks at predetermined time intervals during vehicle operation. The authentication module continuously validates the driver's identity by processing sensing data periodically, ensuring that unauthorized use is detected and prevented while maintaining convenient operation throughout the journey
Solution Approach 2:
The system uses existing sensors already present in the vehicle to collect authentication data, eliminating the need for separate authentication hardware. By leveraging existing sensing capabilities and processing power, the system achieves repeated authentication without significantly increasing device complexity or processing burden
Data Source
AI summary
Disclosed is an electronic device including: a first authentication module configured to determine whether a driver corresponds to a valid user of a vehicle, according to an artificial intelligence (AI)-based authentication process, a control module configured to select a low-speed authentication process or a high-speed authentication process based on a speed of the vehicle, based on determining through the AI-based authentication process that the driver does not correspond to the valid user, and a second authentication module configured to determine whether the driver corresponds to the valid user, according to the authentication process selected by the control module, wherein the AI-based authentication process is configured to be performed based on a neural network configured to process sensing data collected by a sensor of at least one of the vehicle or a mobile device of the driver while the driver is using the vehicle.


