Abstract
With many data breaches and spoofing attacks on our networks, it becomes imperative to provide a reliable method for verifying the integrity of the source. Blockchain location-based proof-of-origin is explored for tracking trucks and vehicles. Blockchain applications that support quick authentication with these non-mutable ledger properties: consensus and implemented as smart contracts at the edge. This Blockchain application will now be known as the POWTracker platform, gathering data from multiple cameras. POWTracker is based on an existing GPS-based blockchain ledger and runs on an edge device that uses AI consensus and multiple cameras. By using GPS algorithms, we present a novel mining algorithm that rewards POW miners, providing a trustworthy, verifiable proof-of-location system.
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Acknowledgments
We would like to thank IBM and National Fintech Center, Morgan State for providing the blockchain discussions for this project. The NSF Award#2101181 funded security and privacy work aim 1, 2, and 3.
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Iyer, V., Mehmood, A., Babu, B., Reddy, Y. (2023). Spatial Blockchain: Smart Contract Using Multiple Camera Censuses. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 2. FTC 2022 2022. Lecture Notes in Networks and Systems, vol 560. Springer, Cham. https://doi.org/10.1007/978-3-031-18458-1_4
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DOI: https://doi.org/10.1007/978-3-031-18458-1_4
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