Abstract
The idea of applying blockchain-based approaches in data exchange applications like this has already been shown to be feasible. Results presented in these papers show that blockchain technologies have great potential to be a security and privacy-preserving environment for IoT data. One of the main advantages of a blockchain compared to a centralized server is its ability to verify the correctness, authenticity, and integrity of provided data without the need to trust any intermediary. This exactly fits autonomous driving, which poses strict challenges to data protection requirements regarding data integrity and provenance. This study focuses on dealing with the problem above by introducing a way how to ensure data integrity and provenance in the context of autonomous vehicle telemetry by deploying DLT-based data integrity verification methods [1].
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