Blockchain: A Safe, Efficient Solution for Driver Privacy and Connected Vehicle Transportation Data Sharing
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2019-08-16
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Abstract:Connected and automated vehicles (CAVs) are becoming increasingly prevalent, bringing with them potential for better safety and mobility. However, these vehicles can create many thousands of transactions in a flash, creating a challenge for current technologies that are not capable of transmitting such big data, privately, and securely. Distributed ledger technologies such as Blockchain have the potential to address this challenge by using decentralized system. Blockchain-based system allows users to enter into direct relationships with each other following commonly agreed terms with a high degree of trust, eliminating the need for a central authority while retaining security and privacy. This study investigates the potential for Blockchain to support safer delivery of CAV data. By using an actual simulation based implementation of the proposed architecture, it demonstrates how Blockchain can improve the level of security and privacy of data sharing and attempts to answer two fundamental questions: 1) how to securely and privately get and store data from CAVs and 2) how to find the best method to connect them using Blockchain technology. The proposed eight-layer framework uses Hyperledger Fabric as an underlying Blockchain technology and uses machine learning models for analyzing data collected in chain. The traffic data in the physical layer are simulated using microscopic traffic simulation tool SUMO and then incorporated into the Blockchain platform. The experiments highlight that the CAV system can be effectively combined with Blockchain technologies while enhancing security in a significant manner.
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