DESIGN AND IMPLEMENTATION OF BLOCKCHAIN BASED PRIVACY PROTECTION CERTIFICATION FOR INTERNET OF VEHICLES

The Internet of Vehicles aims to achieve zero traffic casualties, zero congestion and extreme communication, focusing on reliable interconnection mechanisms. With the development of intelligent transportation, information exchanges on automobile networks are frequent, and security certification with limited resources and low latency needs to be implemented to ensure the functions of the Internet of Vehicles. Therefore, this paper proposes a blockchain-based conditional privacy protection authentication method for the Internet of Vehicles. First, the dynamic revocation of illegal vehicles is realized through smart contracts, which improves the security and efficiency of the Internet of Vehicles; secondly, the proposed method is proved through theoretical deduction and logical demonstration under adaptive selection information attacks in the random oracle model. security; Finally, simulation tests on key algorithms of vehicle registration, login and authentication, and smart contract demonstrate the good feasibility, stability and efficiency of the proposed method. Experimental results show that the proposed method has significant advantages in authentication efficiency, especially suitable for resource-limited IoT, provides new ideas for communication security of IoT and can be widely used in the field of smart transportation.

Institutions

Publication Details

Journal
Journal of Computer Science and Electrical Engineering
Published
2025-08-26
DOI
https://doi.org/10.61784/jcsee3082
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DESIGN AND IMPLEMENTATION OF BLOCKCHAIN BASED PRIVACY PROTECTION CERTIFICATION FOR INTERNET OF VEHICLES

Journal of Computer Science and Electrical Engineering
Blockchain Technology Applications and Security
article

DESIGN AND IMPLEMENTATION OF BLOCKCHAIN BASED PRIVACY PROTECTION CERTIFICATION FOR INTERNET OF VEHICLES

article en

Abstract

The Internet of Vehicles aims to achieve zero traffic casualties, zero congestion and extreme communication, focusing on reliable interconnection mechanisms. With the development of intelligent transportation, information exchanges on automobile networks are frequent, and security certification with limited resources and low latency needs to be implemented to ensure the functions of the Internet of Vehicles. Therefore, this paper proposes a blockchain-based conditional privacy protection authentication method for the Internet of Vehicles. First, the dynamic revocation of illegal vehicles is realized through smart contracts, which improves the security and efficiency of the Internet of Vehicles; secondly, the proposed method is proved through theoretical deduction and logical demonstration under adaptive selection information attacks in the random oracle model. security; Finally, simulation tests on key algorithms of vehicle registration, login and authentication, and smart contract demonstrate the good feasibility, stability and efficiency of the proposed method. Experimental results show that the proposed method has significant advantages in authentication efficiency, especially suitable for resource-limited IoT, provides new ideas for communication security of IoT and can be widely used in the field of smart transportation.

Journal of Computer Science and Electrical EngineeringVol. 7(6)
Beijing University of Posts and Telecommunications (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 67%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.