Enhancing VANET Security using Blockchain and SHA3-256 in Python
Vehicular Ad Hoc Networks (VANETs) are crucial for modern intelligent transportation systems, enabling real-time communication between vehicles (V2V) and infrastructure (V2I) for applications such as traffic management, accident prevention, and autonomous driving. However, the decentralized and wir...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Engiscience Publisher
2025-06-01
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| Series: | Journal of Studies in Science and Engineering |
| Subjects: | |
| Online Access: | https://engiscience.com/index.php/josse/article/view/564 |
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| Summary: | Vehicular Ad Hoc Networks (VANETs) are crucial for modern intelligent transportation systems, enabling real-time communication between vehicles (V2V) and infrastructure (V2I) for applications such as traffic management, accident prevention, and autonomous driving. However, the decentralized and wireless nature of VANETs makes them vulnerable to various cyber threats, including data tampering, eavesdropping, and unauthorized access. Robust security is crucial for protecting sensitive data, maintaining trust, and ensuring the safety of passengers and pedestrians. While existing cryptographic solutions have been proposed, many fail to address the scalability and robustness required for dynamic and resource-constrained VANET environments. This research introduces a novel security framework integrating blockchain technology with SHA3-256 cryptographic hashing. Blockchain provides decentralized trust management, ensuring tamper-proof and verifiable communication, while SHA3-256 enhances data integrity and protects against malicious attacks. A Python-based implementation of this framework demonstrates its scalability and computational efficiency. By securing both V2V and V2I communication, the framework mitigates vulnerabilities, reduces the risk of system malfunctions, and lowers accident rates. This approach establishes a secure and reliable foundation for future intelligent transportation systems, promoting smarter and safer road networks.
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| ISSN: | 2789-634X |