Building Trust in Data for IoT Systems

Fuente: arXiv
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Auteurs principaux: Margaria, Davide, Carelli, Alberto, Vesco, Andrea
Format: Preprint
Publié: 2024
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author Margaria, Davide
Carelli, Alberto
Vesco, Andrea
author_facet Margaria, Davide
Carelli, Alberto
Vesco, Andrea
contents Nowadays, Internet of Things platforms are being deployed in a wide range of application domains. Some of these include use cases with security requirements, where the data generated by an IoT node is the basis for making safety-critical or liability-critical decisions at system level. The challenge is to develop a solution for data exchange while proving and verifying the authenticity of the data from end-to-end. In line with this objective, this paper proposes a novel solution with the proper protocols to provide Trust in Data, making use of two Roots of Trust that are the IOTA Distributed Ledger Technology and the Trusted Platform Module. The paper presents the design of the proposed solution and discusses the key design aspects and relevant trade-offs. The paper concludes with a Proof-of-Concept implementation and an experimental evaluation to confirm its feasibility and to assess the achievable performance.
format Preprint
id arxiv_https___arxiv_org_abs_2403_02225
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Building Trust in Data for IoT Systems
Margaria, Davide
Carelli, Alberto
Vesco, Andrea
Cryptography and Security
Nowadays, Internet of Things platforms are being deployed in a wide range of application domains. Some of these include use cases with security requirements, where the data generated by an IoT node is the basis for making safety-critical or liability-critical decisions at system level. The challenge is to develop a solution for data exchange while proving and verifying the authenticity of the data from end-to-end. In line with this objective, this paper proposes a novel solution with the proper protocols to provide Trust in Data, making use of two Roots of Trust that are the IOTA Distributed Ledger Technology and the Trusted Platform Module. The paper presents the design of the proposed solution and discusses the key design aspects and relevant trade-offs. The paper concludes with a Proof-of-Concept implementation and an experimental evaluation to confirm its feasibility and to assess the achievable performance.
title Building Trust in Data for IoT Systems
topic Cryptography and Security
url https://arxiv.org/abs/2403.02225