Privacy-Preserving and Trustworthy Localization in an IoT Environment

Fuente: arXiv
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Auteurs principaux: Zocca, Guglielmo, Hasan, Omar
Format: Preprint
Publié: 2024
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author Zocca, Guglielmo
Hasan, Omar
author_facet Zocca, Guglielmo
Hasan, Omar
contents The Internet of Things (IoT) is increasingly prevalent in various applications, such as healthcare and logistics. One significant service of IoT technologies that is essential for these applications is localization. The goal of this service is to determine the precise position of a specific target. The localization data often needs to be private, accessible only to specific entities, and must maintain authenticity and integrity to ensure trustworthiness. IoT technology has evolved significantly, with Ultra-Wide Band (UWB) technology enhancing localization speed and precision. However, IoT device security remains a concern, as devices can be compromised or act maliciously. Furthermore, localization data is typically stored centrally, which can also be a point of vulnerability. Our approach leverages the features of a permissioned blockchain, specifically Hyperledger Fabric, to address these challenges. Hyperledger Fabric's collection feature ensures data privacy, and its smart contracts (chaincode) enhance trustworthiness. We tested our solution using a network of devices known as CLOVES, demonstrating robust performance characteristics with UWB technology. Additionally, we evaluated our approach through an indoor localization use case.
format Preprint
id arxiv_https___arxiv_org_abs_2406_16182
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Privacy-Preserving and Trustworthy Localization in an IoT Environment
Zocca, Guglielmo
Hasan, Omar
Distributed, Parallel, and Cluster Computing
The Internet of Things (IoT) is increasingly prevalent in various applications, such as healthcare and logistics. One significant service of IoT technologies that is essential for these applications is localization. The goal of this service is to determine the precise position of a specific target. The localization data often needs to be private, accessible only to specific entities, and must maintain authenticity and integrity to ensure trustworthiness. IoT technology has evolved significantly, with Ultra-Wide Band (UWB) technology enhancing localization speed and precision. However, IoT device security remains a concern, as devices can be compromised or act maliciously. Furthermore, localization data is typically stored centrally, which can also be a point of vulnerability. Our approach leverages the features of a permissioned blockchain, specifically Hyperledger Fabric, to address these challenges. Hyperledger Fabric's collection feature ensures data privacy, and its smart contracts (chaincode) enhance trustworthiness. We tested our solution using a network of devices known as CLOVES, demonstrating robust performance characteristics with UWB technology. Additionally, we evaluated our approach through an indoor localization use case.
title Privacy-Preserving and Trustworthy Localization in an IoT Environment
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2406.16182