Vehicle Sensor Data Sharing via Blockchain for Fraud-Resistant Records
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Solution Overview
Problem
Current vehicle data sharing systems, particularly those using centralized databases, are prone to single points of failure, lack data redundancy, and struggle with fraudulent claims, making them inadequate for efficiently managing and storing critical safety and collision data.
Innovation Solution
A decentralized system utilizing a blockchain-based database for vehicle-to-vehicle (V2V) sensor data sharing, where sensors on vehicles detect potential events, share data with nearby vehicles, and transmit it to a server, enabling secure, redundant, and tamper-proof data storage and management through smart contracts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a centralized database is used to store vehicle sensor data, then data storage and management is simplified, but the system has a single point of failure and lacks data redundancy
Solution Approach 1:
The patent segments the centralized database into multiple distributed nodes across the blockchain network. Each node maintains a copy of the data, eliminating the single point of failure while preserving simplified data management through standardized protocols and consensus mechanisms.
Solution Approach 2:
The patent creates multiple copies of vehicle sensor data across distributed blockchain nodes. Each node stores identical or redundant copies of the data, ensuring that if one node fails, the data remains accessible from other nodes, thus improving reliability without complicating storage management.
2Productivity
If a centralized database is used, then data storage is efficient, but data that is unexpectedly lost is very difficult to retrieve
Solution Approach 1:
The patent implements beforehand cushioning by pre-distributing data copies across multiple blockchain nodes before any loss can occur. This proactive redundancy ensures that if data is lost from one location, retrieved copies are already available from other nodes, preventing information loss while maintaining storage efficiency.
3Device complexity
If a centralized database is used, then data management is straightforward, but the system cannot effectively prevent fraudulent claims
Solution Approach 1:
The patent implements feedback mechanisms through blockchain consensus protocols where multiple nodes verify and validate sensor data before accepting it into the ledger. This distributed verification process provides feedback on data authenticity, preventing fraudulent claims while maintaining manageable complexity through standardized validation rules.
Solution Approach 2:
The patent uses cryptographic hashing and digital signatures that act as 'color changes' or transformations of the original data. These cryptographic transformations verify data integrity and authenticity without requiring complex manual verification processes, thus preventing fraud while keeping data management straightforward.
4Reliability
If sensor data is shared among multiple vehicles, then data redundancy and security are improved, but data transmission and coordination complexity increases
Solution Approach 1:
The patent implements a universal blockchain protocol that handles multiple functions simultaneously: data transmission, verification, storage, and coordination. This multi-functional approach improves data security and redundancy through distributed copying while avoiding increased complexity by using a single standardized protocol for all operations.
Data Source
AI summary
An example operation may include one or more of detecting a potential event via sensors on a transport, sending data related to the potential event to other transports within a predefined distance, storing the data at the transports and a server, and performing a transport operation response on the transports.