Privacy-Preserving and Trustworthy Localization in an IoT Environment
Guglielmo Zocca, Omar Hasan

TL;DR
This paper presents a blockchain-based approach using Hyperledger Fabric to ensure privacy and trustworthiness in IoT localization services, addressing security and data integrity concerns.
Contribution
It introduces a novel integration of permissioned blockchain with UWB-based localization to enhance privacy and trust in IoT environments.
Findings
Effective privacy preservation via Hyperledger Fabric's collection feature
Enhanced trustworthiness through smart contracts
Robust localization performance demonstrated with CLOVES devices
Abstract
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…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · IoT and Edge/Fog Computing
