Vehicular Data Storage Security via Importance-Based Encryption
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Solution Overview
Problem
Existing black boxes in autonomous vehicles lack effective security measures to prevent data loss or falsification during hostile cyber attacks, compromising the accuracy of driving behavior and accident analysis.
Innovation Solution
A method and apparatus for storing vehicular data by analyzing its importance to determine a storage level, acquiring a corresponding key and encryption algorithm, and encrypting the data accordingly, with different complexity levels for keys and algorithms based on storage levels, ensuring secure and efficient storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all vehicular data are stored with the same high security level, then data security is improved, but storage efficiency and processing speed deteriorate
Solution Approach 1:
The patent applies different encryption algorithms and security levels to different storage areas based on data importance. Critical data (e.g., braking, steering) use higher security levels with more complex encryption, while non-critical data use lower security levels, achieving localized security optimization that balances security and efficiency
Solution Approach 2:
The system changes encryption parameters (algorithm complexity, key length) based on data classification. By adjusting security parameters according to data importance rather than using fixed high security for all data, the system resolves the contradiction between maintaining high security and preserving storage efficiency
2Reliability
If complex encryption algorithms are used for all data, then data protection is improved, but processing time and computational resources increase
Solution Approach 1:
Different encryption algorithms are applied to different data types based on their importance. Critical safety-related data receive complex encryption protection, while non-critical data use simpler encryption methods, thereby reducing overall processing time while maintaining protection for essential data
Solution Approach 2:
The system applies full security measures only to the necessary portion of data (critical data), rather than applying excessive security to all data. This partial application of complex encryption to only where needed reduces processing time while maintaining adequate protection
3Device complexity
If uniform storage method is used for all vehicular data, then storage simplicity is maintained, but security against cyber attacks deteriorates
Solution Approach 1:
The patent divides storage space into multiple areas with different security characteristics. Critical data are stored in high-security areas with robust encryption and protection mechanisms, while non-critical data are stored in lower-security areas, creating localized security zones that protect against cyber attacks without requiring uniform complex security throughout
Solution Approach 2:
The storage system is segmented into multiple areas based on data importance. This segmentation allows different security measures to be applied to different segments, improving overall security against cyber attacks while maintaining manageable complexity through organized structure
Data Source
AI summary
A method, apparatus and device for storing vehicular data. An embodiment of a method for storing vehicular data includes: analyzing importance of received vehicular data to determine a storage level of the vehicular data; acquiring a corresponding key and a corresponding encryption algorithm based on the storage level of the vehicular data; encrypting the vehicular data using the acquired key and the acquired encryption algorithm; and storing encrypted vehicular data in a storage area corresponding to the storage level of the vehicular data. The embodiment may improve the safety of vehicular data by encrypted storage of the data in different levels, effectively prevent important vehicular data from being illegally read or maliciously falsified, and improve the storage efficiency of the vehicular data.