Vehicle Sensor Data Encryption for Selective Category Decoding
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Solution Overview
Problem
Existing systems face challenges in efficiently transmitting and processing information detected by vehicle sensors to multiple data centers, requiring complex processing and decoding of all information to obtain specific categories.
Innovation Solution
A driving assistance device that encrypts sensor information using public keys corresponding to predetermined categories and employs homomorphic encryption to create a table indicating category correspondences, allowing selective decoding of specific information without processing all data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sensor information is transmitted and decoded to obtain specific categories, then complete information is available, but processing time and computational load increase significantly
Solution Approach 1:
The patent segments sensor information into multiple predetermined categories (e.g., obstacle detection, road condition, weather) and applies separate encryption keys to each category. This allows the decoding device to selectively decode only the required categories rather than processing all information, thereby reducing processing time while maintaining information completeness for needed categories.
Solution Approach 2:
The patent performs preliminary encryption of sensor information into categorized groups before transmission. By pre-organizing and encrypting data by category with distinct keys, the system enables the decoding device to quickly access specific categories without needing to process or decrypt the entire data set, thus reducing processing time while preserving complete information availability.
2Loss of information
If all sensor information is transmitted to data centers, then comprehensive data is available, but processing load on the vehicle system increases
Solution Approach 1:
The patent divides sensor information into predetermined categories and applies different encryption keys to each category. This segmentation allows the vehicle system to transmit all information while enabling the decoding device to selectively process only required categories, thereby maintaining data completeness while reducing the processing load on the vehicle system.
Solution Approach 2:
The patent introduces an intermediary encryption mechanism that categorizes and encrypts sensor data before transmission. This intermediary layer allows comprehensive data to be transmitted without requiring the vehicle system to perform complex real-time processing of all data, as the encryption structure enables selective decoding at the receiving end.
3Device complexity
If sensor information is transmitted without encryption, then transmission is simple, but confidentiality and security are compromised
Solution Approach 1:
The patent applies different encryption keys to different categories of sensor information based on their security requirements. This local quality approach ensures that only necessary security measures are applied to each category, maintaining information security while avoiding the complexity of encrypting all data with a single key, thus balancing security with transmission simplicity.
4Productivity
If selective decoding of specific categories is enabled, then processing efficiency improves, but system complexity increases due to multiple encryption keys
Solution Approach 1:
The patent segments sensor information into predetermined categories and assigns a specific encryption key to each category. This segmentation enables selective decoding of required categories, improving processing efficiency. The system manages the complexity of multiple keys by organizing them according to clear category definitions, making the encryption system more manageable despite the increased number of keys.
Solution Approach 2:
The patent creates a universal encryption framework where multiple encryption keys operate under a unified category-based structure. This multi-functionality allows the system to handle different security requirements for different data categories while maintaining a consistent decryption process, thereby improving processing efficiency without proportionally increasing system complexity.
Data Source
AI summary
A driving assistance device mounted on a vehicle includes at least one sensor, an encryption unit, and a communication unit. The at least one sensor obtains detection information items that are categorized into predetermined categories. The encryption unit encrypts the detection information items using public keys each of which corresponds to a respective one of the predetermined categories, creates a table that indicates a correspondence between the encrypted detection information items and the corresponding predetermined categories, creates a table that indicates a correspondence between the encrypted detection information items and the corresponding predetermined categories, and encrypts the created table using a homomorphic encryption. The communication unit transmits the encrypted detection information items and the homomorphically encrypted table.