Integration of Blockchain with Connected and Autonomous Vehicles: Vision and Challenge

Tooska Dargahi, Hossein Ahmadvand, Mansour Naser Alraja, Chia-Mu Yu

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Connected and Autonomous Vehicles (CAVs) are introduced to improve individuals' quality of life by offering a wide range of services. They collect a huge amount of data and exchange them with each other and the infrastructure. The collected data usually includes sensitive information about the users and the surrounding environment. Therefore, data security and privacy are among the main challenges in this industry. Blockchain, an emerging distributed ledger, has been considered by the research community as a potential solution for enhancing data security, integrity, and transparency in Intelligent Transportation Systems (ITS). However, despite the emphasis of governments on the transparency of personal data protection practices, CAV stakeholders have not been successful in communicating appropriate information with the end users regarding the procedure of collecting, storing, and processing their personal data, as well as the data ownership. This article provides a vision of the opportunities and challenges of adopting blockchain in ITS from the "data transparency"and "privacy"perspective. The main aim is to answer the following questions: (1) Considering the amount of personal data collected by the CAVs, such as location, how would the integration of blockchain technology affect transparency, fairness, and lawfulness of personal data processing concerning the data subjects (as this is one of the main principles in the existing data protection regulations)? (2) How can the trade-off between transparency and privacy be addressed in blockchain-based ITS use cases?

Original languageEnglish
Article number5
Pages (from-to)1-10
Number of pages10
JournalJournal of Data and Information Quality
Volume14
Issue number1
DOIs
StatePublished - Mar 2022

Keywords

  • blockchain
  • Connected and autonomous vehicles
  • privacy
  • transparency

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