Vehicle Data Segmentation for Secure Blockchain Storage
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Solution Overview
Problem
Current systems lack an efficient and secure centralized method for tracking damage and malfunction-related data from vehicles, which is essential for future references and processing, but sensitive information needs to be protected from unauthorized access.
Innovation Solution
Implementing a blockchain-based decentralized database system where vehicles send sensitive data to a remote storage when damage exceeds a threshold, and the data is deleted from the vehicle, ensuring secure and immutable storage through consensus protocols among peers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a centralized system collects and stores transport data locally, then data availability for future reference is improved, but security and protection of sensitive information deteriorates
Solution Approach 1:
The patent segments transport data into two categories: non-sensitive data that remains stored locally in the transport's memory for immediate access and future reference, and sensitive data that is separately identified and transferred to a centralized secure server. This segmentation allows the system to maintain data availability for operational needs while protecting sensitive information from local security risks.
Solution Approach 2:
The patent extracts sensitive data from the transport's local storage and transfers it to a centralized secure server. This extraction removes the harmful factor of sensitive information exposure from the transport environment while maintaining the ability to access necessary data through the centralized system, thus resolving the contradiction between data availability and security.
2Object-affected harmful factors
If a centralized system securely stores sensitive transport data remotely, then security of sensitive information is improved, but system complexity increases
Solution Approach 1:
The patent introduces a centralized secure server as an intermediary between multiple transports and authorized accessing entities. This mediator handles the secure storage and controlled distribution of sensitive data, simplifying the architecture by centralizing security functions rather than implementing complex security mechanisms in each transport. The intermediary approach improves security while managing system complexity through specialization.
Solution Approach 2:
The centralized secure server provides multi-functional capabilities including secure data storage, authentication of accessing entities, authorization management, and controlled data distribution to multiple transports and service centers. This universal system handles various security requirements through a single platform, reducing overall system complexity compared to implementing separate security solutions for each transport.
3Adaptability or versatility
If transport data is shared with multiple entities, then data utility for processing is improved, but data security and access control deteriorates
Solution Approach 1:
The patent implements dynamic access control where the centralized secure server adjusts authorization levels and data access permissions based on the identity, role, and needs of each accessing entity. This dynamic approach allows multiple entities to access and utilize transport data for their specific purposes while maintaining security through real-time authorization checks, resolving the contradiction between data utility and security.
Solution Approach 2:
The system incorporates feedback mechanisms where the centralized server monitors and tracks which entities access which data, enabling continuous verification of authorization and detection of unauthorized access attempts. This feedback loop maintains security while allowing versatile data sharing by providing real-time control and oversight of data distribution to multiple entities.
Data Source
AI summary
An example operation may include one or more of receiving, from at least one sensor associated with a transport, severity of damage information related to the transport, when the severity of damage exceeds a threshold: identifying sensitive data on the transport; removing a portion of the sensitive data from the transport; storing the removed portion on a storage apart from the transport; identifying additional data to replace the removed portion of the sensitive data; and adding the identified additional data to the sensitive data on the transport.