Hyperledger Fabric Platform for Secure and Efficient Data Sharing in Autonomous Vehicles

Reem Alhabib*, Poonam Yadav*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Advancements in wireless communication, encompassing
cellular and non-terrestrial networks, are empowering
Autonomous Vehicles (AVs) to revolutionize transportation.
The achievement of real-time data exchange and seamless
communication with infrastructure promises a future of safer
and more efficient travel. However, the significant challenge
of efficiently managing the extensive data generated by AVs
persists. This data includes sensor readings, information
about the surrounding environment, and potentially user data.
Consequently, addressing concerns related to data processing,
sharing among various stakeholders, privacy, integrity, and
security is of utmost importance. This paper tackles the data
sharing challenge by proposing and evaluating a platform
built on Hyperledger Fabric, a blockchain technology. This
platform aims to facilitate secure and efficient data sharing
between all parties involved with AVs. Our initial testing
reveals that the number of simulated users (virtual user
count) and the amount of data processed (data load) can
negatively impact the system’s performance. This highlights
the need for further optimization to ensure the platform can
handle large-scale data sharing effectively.
Original languageEnglish
Title of host publicationUniversity of York, UK
PublisherIEEE Communications Society
Publication statusAccepted/In press - 28 May 2024

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