Blockchain-Oriented Privacy Protection of Sensitive Data in the Internet of Vehicles

Cheng Xu, Hongjun Wu, Hongzhe Liu*, Weihao Gu, Ying Li, Dongpu Cao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

The Internet of Vehicles is the specific instantiation of the Internet of Things in the field of transportation. Vehicle and driving data are often used to mine information about people's lifestyles and preferences. Without advanced data encryption and strict authorization measures, personal privacy and security are at great risk. To solve the problem that the relatively low security of vehicles connected to the Internet may threaten the privacy of users, a blockchain-based sensitive data privacy-protection scheme for vehicles connected to the Internet is proposed. First, association rules are used to mine Big Data in the Internet of Vehicles. Then, a data security aggregation protocol is established. Finally, an end-to-end encryption mechanism is created. The privacy protection of Big Data in the Internet of Vehicles is achieved through static and dynamic strategies. The experimental results show that the scheme can improve the hiding rate of sensitive data, the key generation time and encryption time are shorter than those of typical technologies, and the encryption ability is better. Therefore, in protecting the privacy of Big Data in the Internet of Vehicles, the blockchain proposed in this paper has better privacy protection and encryption abilities and is applicable to the protection of sensitive data in the Internet of Vehicles.

Original languageEnglish
Pages (from-to)1057-1067
Number of pages11
JournalIEEE Transactions on Intelligent Vehicles
Volume8
Issue number2
DOIs
Publication statusPublished - 1 Feb 2023

Keywords

  • Big Data processing
  • Internet of Vehicles
  • blockchain
  • privacy protection
  • sensitive data

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