Vehicle Trust Management for Secure Occupant Data Sharing
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Solution Overview
Problem
Current transportation systems lack efficient methods for secure data sharing and authentication between vehicles and occupants, particularly in ensuring data privacy and security, especially when vehicles interact with various computing devices and service stations.
Innovation Solution
Implementing a system that modifies a location-based level of trust for data interactions between vehicles and occupant devices, using blockchain technology for secure data storage and smart contracts to manage permissions, and utilizing sensors for real-time data monitoring and authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is shared between vehicles and computing devices, then functionality and service capability are improved, but data security and privacy are compromised
Solution Approach 1:
The patent implements location-based trust levels that vary depending on the proximity of the computing device to the vehicle. Different locations (inside vehicle, near vehicle, far from vehicle) have different trust levels, allowing data sharing decisions to be made with localized security policies rather than uniform restrictions, thus enabling both data sharing and security.
Solution Approach 2:
The trust level is not static but dynamically adjusted based on the changing location of the computing device relative to the vehicle. As the device moves closer or farther from the vehicle, the trust level changes accordingly, allowing the system to adapt data sharing permissions in real-time based on spatial context.
2Reliability
If trust levels are modified based on location, then data security is improved, but system complexity increases
Solution Approach 1:
The vehicle system automatically determines trust levels based on the location of computing devices without requiring manual intervention or complex external verification. The system serves itself by using its own sensor data and location information to dynamically adjust trust levels, simplifying the overall architecture despite the dynamic nature of trust management.
Solution Approach 2:
The system continuously monitors the location of computing devices and uses this feedback to dynamically adjust trust levels. This closed-loop feedback mechanism allows the system to automatically respond to changing spatial conditions, maintaining security without requiring complex manual trust management procedures.
Data Source
AI summary
An example operation includes one or more of receiving, by a transport, first data from an occupant device proximate the transport, modifying, by the transport, a location-based level of trust related to a type and an interaction of the received first data with the occupant device, and receiving, by the transport, second data based on the modified location-based level of trust and a proximity of the occupant device to the transport.