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Continuous Monitoring in Mission-Critical Applications Using the Internet of Things and Blockchain

Published: 01 July 2019 Publication History

Abstract

This paper is set to demonstrate the methodology and benefits of applying blockchain to the Internet of Things (IoT). It outlines the design of a mission-critical monitoring system using the IoT and blockchain technologies. Blockchain is used to ensure the integrity of data gathered by IoT devices. Smart contracts are used to verify and enforce the conditions of monitored assets during their lifecycle. This system provides continuous, real-time and secure monitoring. A highly configurable interface is designed to allow users set thresholds and alerts.

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cover image ACM Other conferences
ICFNDS '19: Proceedings of the 3rd International Conference on Future Networks and Distributed Systems
July 2019
346 pages
ISBN:9781450371636
DOI:10.1145/3341325
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • CNAM: Conservatoire des Arts et Métiers

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Association for Computing Machinery

New York, NY, United States

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Published: 01 July 2019

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Author Tags

  1. blockchain
  2. internet of things
  3. mission-critical applications

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Cited By

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  • (2024)IoT-orchestrated optimal nanogrid energy management: Improving energy trading performance and efficiency via virtual operationsInternational Journal of Electrical Power & Energy Systems10.1016/j.ijepes.2023.109668155(109668)Online publication date: Jan-2024
  • (2024)Reliability Assessment of IoT-Enabled Systems Using Fault Trees and Bayesian NetworksAdvances in Distributed Computing and Machine Learning10.1007/978-981-97-1841-2_20(267-277)Online publication date: 18-Jun-2024
  • (2023)IoT Orchestration-Based Optimal Energy Cost Decision Mechanism with ESS Power Optimization for Peer-to-Peer Energy Trading in NanogridSmart Cities10.3390/smartcities60501016:5(2196-2220)Online publication date: 22-Aug-2023
  • (2023)An Overview of Safety and Security Analysis Frameworks for the Internet of ThingsElectronics10.3390/electronics1214308612:14(3086)Online publication date: 16-Jul-2023
  • (2023)Network Security Monitors: Tools, Incident Detection and ResponseSSRN Electronic Journal10.2139/ssrn.4505734Online publication date: 2023
  • (2023)Botnet Attacks: Characteristics and Detection TechniquesSSRN Electronic Journal10.2139/ssrn.4477422Online publication date: 2023
  • (2023)Unsupervised Learning for Feature Selection: A Proposed Solution for Botnet Detection in 5G NetworksIEEE Transactions on Industrial Informatics10.1109/TII.2022.319204419:1(921-929)Online publication date: Jan-2023
  • (2023)Blockchain based Secure Communication in IoT Environment2023 International Conference on Artificial Intelligence and Smart Communication (AISC)10.1109/AISC56616.2023.10085196(182-186)Online publication date: 27-Jan-2023
  • (2022)Dependability of the Internet of Things: Current Status and Challenges2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)10.1109/ICECCME55909.2022.9987845(1-6)Online publication date: 16-Nov-2022
  • (2021)Machine Learning for Botnet Detection: An Optimized Feature Selection ApproachProceedings of the 5th International Conference on Future Networks and Distributed Systems10.1145/3508072.3508102(195-200)Online publication date: 15-Dec-2021
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