Intelligent Transportation Using Wireless Sensor Networks Blockchain and License Plate Recognition

Area of Science:

• Computer Science
• Cybersecurity
• Transportation Engineering

Background:

• Increasing vehicle numbers complicate traffic management and raise privacy concerns in the Internet of Vehicles (IoV).
• License Plate Recognition (LPR) is crucial for vehicle identification but raises privacy and data security issues in IoV systems.
• Traditional IoV systems with central authorities are vulnerable to server crashes and data breaches.

Purpose of the Study:

• To propose a novel blockchain-based system for enhancing privacy and security in IoV using LPR.
• To address the limitations of centralized systems in IoV, such as scalability issues and single points of failure.
• To ensure secure and private handling of vehicle license plate data within the IoV ecosystem.

Main Methods:

• Implementation of a blockchain network for direct registration of license plates, bypassing traditional gateways.
• Utilizing License Plate Recognition (LPR) technology to capture and process vehicle identification data.
• Developing a key revocation mechanism within the blockchain system to manage user access and identify malicious actors.

Main Results:

• The proposed system enhances IoV privacy by decentralizing license plate registration on the blockchain.
• It mitigates the risk of central server crashes, improving system scalability and reliability.
• The blockchain-based approach provides a secure method for managing vehicle identity and public keys, including key revocation.

Conclusions:

• A blockchain-based LPR system offers a robust solution for IoV privacy and security challenges.
• Decentralization through blockchain technology improves the scalability and resilience of IoV traffic management systems.
• This approach effectively protects sensitive vehicle data while enabling efficient traffic control.