Blockchain Traffic Accident Forensics for Tamper-Proof Reports
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Solution Overview
Problem
Existing traffic accident report systems lack efficient and secure methods for negotiating and verifying accident information between multiple vehicles, leading to potential tampering and inefficiencies in insurance claims and law enforcement processes.
Innovation Solution
A blockchain-based method where vehicles verify and sign accident reports with each other and a road side unit, using elliptic curve cryptography for security and batch verification to reduce computational load, ensuring tamper-proof storage on the blockchain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional centralized systems are used for accident report storage and verification, then system complexity is reduced, but security and tamper-proof capabilities deteriorate
Solution Approach 1:
The patent introduces a blockchain network as an intermediary between vehicles and the central authority. The blockchain serves as a decentralized mediator that stores accident reports and verification data, eliminating the need for a single centralized database while maintaining system security and trustlessness.
Solution Approach 2:
The system segments the centralized verification authority into multiple distributed nodes across the blockchain network. Each vehicle, roadside unit, and insurance company operates as an independent node, collectively maintaining the accident report database without requiring a single point of control.
2Measurement precision
If individual verification of multiple vehicles is performed, then verification accuracy is improved, but processing time increases
Solution Approach 1:
The patent combines multiple individual verification operations into a single batch verification process. The blockchain network aggregates verification requests from multiple vehicles and processes them simultaneously using parallel computation, maintaining individual verification accuracy while reducing total processing time.
Solution Approach 2:
The system performs verification in stages: first a preliminary check of essential data elements, then detailed verification only for records requiring it. This partial verification approach reduces overall processing time while maintaining accuracy for cases that require thorough examination.
3Measurement precision
If detailed accident information is collected from all vehicles, then forensics accuracy is improved, but data transmission load increases
Solution Approach 1:
The patent extracts only the essential verification data elements needed for accident forensics and stores them on the blockchain. Non-essential detailed information is kept locally in vehicles or processed offline, reducing the data transmission load while maintaining forensics accuracy through the use of cryptographic hashes and selective data retrieval.
Solution Approach 2:
The system transforms detailed accident data into compact cryptographic representations (hashes, digital signatures, and verification tokens) that can be efficiently transmitted and stored on the blockchain. The original detailed information remains available locally but is referenced through these compact parameters, reducing transmission requirements.
4Reliability
If computational verification is performed for each accident report, then verification reliability is improved, but computational pressure on wireless devices increases
Solution Approach 1:
The blockchain network acts as a computational intermediary that performs heavy verification operations. Instead of requiring each vehicle's onboard computer to independently verify all accident reports, the blockchain nodes collectively perform the computational work, reducing the power requirements for individual wireless devices while maintaining verification reliability.
Solution Approach 2:
The system uses cryptographic copies (hashes and digital signatures) of accident report data that can be quickly verified without processing the entire original dataset. These cryptographic copies enable lightweight verification on mobile devices while the full verification computation is distributed across the blockchain network.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures reliable and tamper-proof accident reporting, protecting vehicle privacy while facilitating efficient insurance claims and law enforcement through mutual verification and batch processing.
Implementation Method 1
The key parameters in the mutual verification process are encrypted based on an elliptic curve algorithm, and thus the security of the whole mutual verification process is improved.
Implementation Method 2
Blockchain technology has the characteristics of decentralization, non-tampering and non-forgery, and the use of blockchain for the storage of vehicle accident reports can ensure the security and tamper-proof of the vehicle accident reports.
Implementation Method 3
selecting, by the trust authority, an elliptic curve E(⋅) with a generator P, a secure one-way Hash function h(⋅)
Data Source
AI summary
A traffic accident forensics method based on a blockchain is provided. After a traffic accident, the method allows vehicles to carry out a mutual verification and sign a respective accident report. After one of the vehicles verifies with a road side unit, the signed accident report is submitted to the road side unit and uploaded to the blockchain, so as to record the accident report and preventing the accident report from being tampered, and an efficient mutual verification between the vehicle and the road side unit is achieved. The key parameters in the mutual verification process are encrypted based on an elliptic curve algorithm, and thus the security of the whole mutual verification process is improved. A batch verification way for signatures is designed to reduce the compute pressure of a wireless device. Vehicles use dynamic anonymity policies to protect privacy in the forensics method.