Autonomous Vehicle User Authentication via Distributed Blockchain
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Solution Overview
Problem
Autonomous driving systems face challenges in ensuring high accuracy and safety for user authentication, leading to potential ride rejections and decreased passenger satisfaction due to sensor limitations and authentication failures.
Innovation Solution
A method and apparatus for user authentication in autonomous driving systems utilizing blockchain technology, where authentication data is matched with passenger information stored in a distributed manner across infrastructural devices, allowing for dynamic driving setting adjustments based on authentication accuracy and additional authentication through pre-driving routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensor-based authentication is used in autonomous vehicles, then the authentication process is simple and quick, but the authentication accuracy is low and security is compromised
Solution Approach 1:
The authentication system is segmented into multiple independent authentication items (face recognition, living body authentication, financial authentication) rather than relying on a single sensor. Each authentication item is verified separately and contributes to the overall authentication value, thereby improving accuracy without requiring a single complex sensor system.
Solution Approach 2:
A server acts as an intermediary between the autonomous vehicle and the authentication data sources. The server stores and manages authentication information from multiple sources, processes authentication requests, and provides authentication results to the vehicle. This intermediary approach enables comprehensive authentication without requiring the vehicle itself to contain all authentication components.
2Reliability
If strict authentication requirements are enforced, then passenger safety is improved, but ride rejection rate increases and passenger satisfaction decreases
Solution Approach 1:
The authentication requirement is made dynamic through the authentication value calculation. Instead of enforcing a fixed threshold, the system calculates an authentication value based on the number and reliability of matched authentication items. The minimum reference value for authentication can be adjusted dynamically based on the specific situation, allowing the system to maintain safety while reducing unnecessary rejections.
Solution Approach 2:
The system changes the parameter of authentication from a binary pass/fail decision to a continuous authentication value scale. By calculating the authentication value as the number of matched authentication items and comparing it against a minimum reference value, the system can flexibly adjust security requirements based on the specific authentication scenario, thereby improving both safety and user experience.
3Reliability
If multiple authentication items are verified, then authentication security is improved, but authentication processing time increases
Solution Approach 1:
Authentication information from multiple sources (face recognition data, living body authentication data, financial authentication data) is collected and stored in advance on the server before the authentication process. When authentication is required, the system directly retrieves and compares this pre-collected data rather than performing all authentication processes in real-time, significantly reducing processing time while maintaining security.
4Ease of manufacture
If user information is stored centrally, then data management is simplified, but security and privacy protection is compromised
Solution Approach 1:
User authentication information is segmented and distributed across multiple authentication sources (face recognition system, living body authentication system, financial authentication system) rather than stored in a single centralized database. Each source maintains its own data securely, and the server only stores minimal reference information needed for comparison, thereby simplifying management while enhancing security through distribution.
Data Source
AI summary
A method and an apparatus for user authentication of a vehicle in an autonomous driving system are disclosed. The method includes determining an authentication value indicating matching accuracy of authentication data entered for a passenger of the vehicle and authentication information of a caller of the vehicle, determining a driving setting of the vehicle based on the authentication value, driving on a pre-driving route according to the driving setting, performing decryption for encrypted data blocks related to the passenger received from an infra apparatus located on the pre-driving route, using a key value of the passenger, determining a destination of the vehicle based on whether the decryption for the encrypted data blocks succeeds or fails, and controlling the vehicle to drive to the destination. An autonomous vehicle of the present invention can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.