An Approach to Privacy-Preserving Distributed Intelligence for the Internet of Things

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the Internet of things (IoT), security and privacy issues are a fundamental challenge determining the successful implementation of many IoT applications. Distributed ledger technology (e.g., Blockchain) offers a great promise to solve these issues. Blockchain-based solutions support security and privacy, yet they involve significant energy due to mining, low throughput, and computational overhead that is not acceptable for IoT resource-constrained devices. In this paper, we propose an energy-efficient Privacy-Preserving Distributed Intelligence approach (PPDI) by adopting the IOTA technology. IOTA is an emerging distributed ledger technology that allows for zero fees transactions for the IoT. The proposed PPDI aims to address the privacy issues in the IoT by using the IOTA Masked Authenticated Messaging (MAM) protocol. MAM ensures privacy by encrypting and granting permission to authorized users to access data. This paper presents a healthcare scenario that demonstrate how IOTA MAM can be used to address the privacy issue in the IoT. The experimental results clearly show that IOTA MAM is a feasible solution that can be used to solve privacy related issues in the IoT domain.
Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Internet of Things, Big Data and Security
Subtitle of host publicationIoTBDS 2022
EditorsDenis Bastieri, Gary Wills, Péter Kacsuk, Victor Chang
PublisherSciTePress
Pages174-182
Number of pages9
Volume1
ISBN (Print)9789897585647
DOIs
Publication statusPublished - 22 Apr 2022
Event7th International Conference on Internet of Things, Big Data and Security - , Portugal
Duration: 22 Apr 202224 Apr 2022
Conference number: 7
https://iotbds.scitevents.org

Publication series

NameProceedings of the International Conference on Internet of Things, Big Data and Security
PublisherScitepress
ISSN (Print)2184-4976

Conference

Conference7th International Conference on Internet of Things, Big Data and Security
Abbreviated titleIoTBDS 2022
Country/TerritoryPortugal
Period22/04/2224/04/22
Internet address

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