20240056299. TRAFFIC ACCIDENT FORENSICS METHOD BASED ON BLOCKCHAIN simplified abstract (Hangzhou Normal University)
Contents
TRAFFIC ACCIDENT FORENSICS METHOD BASED ON BLOCKCHAIN
Organization Name
Inventor(s)
TRAFFIC ACCIDENT FORENSICS METHOD BASED ON BLOCKCHAIN - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240056299 titled 'TRAFFIC ACCIDENT FORENSICS METHOD BASED ON BLOCKCHAIN
Simplified Explanation
The patent application describes a traffic accident forensics method based on a blockchain, allowing vehicles to conduct mutual verification and sign accident reports after an accident. The signed accident report is then submitted to a road side unit and uploaded to the blockchain to prevent tampering and ensure efficient verification.
- Key parameters in the verification process are encrypted using an elliptic curve algorithm to enhance security.
- A batch verification method for signatures is implemented to reduce compute pressure on wireless devices.
- Dynamic anonymity policies are used by vehicles to protect privacy in the forensics method.
- Potential Applications
- Traffic accident investigation and reporting
- Insurance claim processing
- Law enforcement investigations
- Problems Solved
- Preventing tampering of accident reports
- Ensuring efficient and secure verification process
- Protecting privacy of individuals involved in accidents
- Benefits
- Enhanced security in accident reporting
- Streamlined verification process
- Improved privacy protection for individuals involved in accidents
Original Abstract Submitted
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.
