4.8 Article

IoTShare: A Blockchain-Enabled IoT Resource Sharing On-Demand Protocol for Smart City Situation-Awareness Applications

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 7, Issue 10, Pages 10548-10561

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2020.3004441

Keywords

Blockchain; Protocols; Urban areas; Cloud computing; Internet of Things; Resource management; Monitoring; Blockchains; Internet-of-Things (IoT) networks; smart cities

Funding

  1. Cisco Systems
  2. U.S. National Science Foundation [1162296, 1923884]
  3. Direct For Computer & Info Scie & Enginr
  4. Division Of Computer and Network Systems [1162296] Funding Source: National Science Foundation
  5. Directorate For Engineering
  6. Div Of Electrical, Commun & Cyber Sys [1923884] Funding Source: National Science Foundation

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We propose a blockchain-based, distributed protocol for enabling the deployment of Internet-of-Things (IoT) networks on-demand on top of IoT devices. Specifically, the proposed protocol leverages blockchain technology to: 1) enable distributed and secure authentication, registration, and management of participatory IoT devices; 2) provide fast discovery of IoT resources and scalable and secure instantiation of IoT networks-on-demand; and 3) manage payment operations and ensure reliable fund transfers among the network entities. The proposed protocol relies on a peer-to-peer network communication infrastructure to allow communications among the IoT devices in a distributed manner and uses a self-recovery/self-healing mechanism to ensure robustness against device failure and maliciousness. The protocol also introduces and uses a reputation system to monitor registered devices to keep track of their service delivery quality so that their service delivery reputations could be leveraged for future device selection and mapping. We implemented and evaluated the proposed protocol intensively using simulations and showed that it scales well with network parameters, is resilient to faulty devices, and is robust to 51% attack.

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