Concurrency and Computation Practice and Experience · 2020 · 41 citations · 27 references
ComputingCloud ComputingComputer ScienceEdge ComputingSecurity ArchitectureUnmanned Aircraft SystemsEdge Computing InfrastructureEdge SecurityEdge-cloud ArchitectureMobile Edge ComputingMulti-access Edge ComputingMutual AuthenticationBlockchain CryptographyBlockchain-based SecurityEdge Computing NetworksEdge NodesMec ArchitectureMobile Edge Computing ArchitectureMutual Trust BuildingUnmanned Aerial Vehicle Security
Summary The “last mile” problem in logistics is challenging due to its low efficiency and high cost. To address this problem, Unmanned Aerial Vehicle (UAV) delivery such as drone delivery has been proposed and widely accepted as a promising solution. However, currently most of the existing UAV delivery systems are based on Cloud Computing which cannot efficiently meet the requirements of many real‐time services in UAV delivery systems. Meanwhile, the security issues in UAV delivery systems also raise critical concerns due to the existence of multiple participants (such as the sender, middler, and receiver) who may not maintain a mutual trust relationship among them. How to secure the UAV delivery process in such an untrusted environment is still a challenging issue. In this paper, we propose a Mobile Edge Computing (MEC) and blockchain‐based UAV delivery system to resolve the “last mile” problem in logistics. Specifically, based on the MEC architecture, the blockchain nodes are deployed on the edge nodes to facilitate and secure the UAV delivery process. To verify the effectiveness of our proposed solution, a MEC‐based UAV delivery system prototype with a private blockchain on the Ethereum platform is implemented. Through the security analysis and performance evaluation, it is proven that our proposed solution can effectively solve the “last mile” problem and address the security issues in UAV delivery systems.
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