Onboard Transport Hash Validation for Occupant Data Integrity
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Solution Overview
Problem
Existing transportation systems lack robust security measures to ensure data integrity and authenticity of occupant and transport data, particularly during vehicle operation, which can lead to unauthorized modifications or hacking, compromising safety and security.
Innovation Solution
Implementing a security check system that hashes occupant and transport data upon vehicle startup, validates the hash against stored data, and provides resolutions for failures, including notifications and software quarantining, to ensure data integrity and prevent unauthorized modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If robust security measures are implemented to ensure data integrity, then data security is improved, but device complexity increases
Solution Approach 1:
The system performs security checks at vehicle startup before normal operations begin. Hash values of critical data are pre-calculated and stored, then validated against current data states during the security check process, preventing compromised data from entering the operational system
Solution Approach 2:
Hash values serve as intermediary representations of the original data. Instead of directly comparing large amounts of raw data, the system uses compact hash values as mediators to verify data integrity, simplifying the verification process while maintaining security
2Reliability
If security checks are performed on all data, then data authenticity is improved, but processing time increases
Solution Approach 1:
The system extracts only critical data elements that require security validation rather than checking all data uniformly. By identifying and isolating the most security-sensitive data portions, the system reduces the overall validation scope and processing time
Solution Approach 2:
The system transforms data into hash values, changing the parameter representation from raw data to condensed cryptographic signatures. This parameter transformation enables rapid comparison and validation without processing the full data sets
Data Source
AI summary
An example operation includes one or more of saving a hash of data including occupant data and transport data on a transport in response to the transport is started, performing a security check that validates the hash of data against the data in response to the transport is started, and providing a resolution when the security check fails.