journal article·2026-06-13Open access

Blockchain-Based Detection of Invalid Vehicle Numbers While Preserving Privacy

Rathish Prabhu, Seung Yeob Nam

Applied Sciences· Volume 16· Issue 12

Abstract

A blockchain-based framework is proposed for secure vehicle registration and real-time authenticity verification in vehicular networks. To mitigate the risks of fake and stolen license plates, vehicle identification data is protected using a modular arithmetic-based cryptographic mechanism and indexed within an on-chain hash table structure. Role-based access control ensures system integrity by restricting all registration and modification operations to authorized government entities, while enabling public verifiers to validate vehicle legitimacy through privacy-preserving verification. Experimental evaluation demonstrates that the system achieves low verification latency, minimal storage overhead, and stable throughput. Furthermore, scalability and denial-of-service (DoS) resilience analyses confirm consistent performance under high verification demand. This framework offers an efficient and privacy-preserving solution for the secure and real-time verification of vehicle legitimacy in vehicular networks.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Vehicular Ad Hoc Networks (VANETs) · Blockchain Technology Applications and Security · Cryptography and Data Security

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea

Funding

National Research Foundation

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