Simulation of Hybrid Edge Computing Architectures

Serena, Luca; Zichichi, Mirko; D’Angelo, Gabriele; Ferretti, Stefano

doi:10.1109/ds-rt52167.2021.9576121

Cited by 1 publication

(1 citation statement)

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“…The popularity of Internet of Things devices and smartphones and the associated generation of large amounts of data derived from their sensors [57] has resulted in an interest of individuals in the production and consumption of data via a data marketplace [11]. Making data, which are mostly personal, available for access and trade is expected to become a part of the data-driven digital economy [14].…”

Section: Decentralized Personal Data Managementmentioning

confidence: 99%

Decentralized Personal Data Marketplaces: How Participation in a DAO Can Support the Production of Citizen-Generated Data

Zichichi

Ferretti

Rodrı́guez-Doncel

2022

Sensors

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Big Tech companies operating in a data-driven economy offer services that rely on their users’ personal data and usually store this personal information in “data silos” that prevent transparency about their use and opportunities for data sharing for public interest. In this paper, we present a solution that promotes the development of decentralized personal data marketplaces, exploiting the use of Distributed Ledger Technologies (DLTs), Decentralized File Storages (DFS) and smart contracts for storing personal data and managing access control in a decentralized way. Moreover, we focus on the issue of a lack of efficient decentralized mechanisms in DLTs and DFSs for querying a certain type of data. For this reason, we propose the use of a hypercube-structured Distributed Hash Table (DHT) on top of DLTs, organized for efficient processing of multiple keyword-based queries on the ledger data. We test our approach with the implementation of a use case regarding the creation of citizen-generated data based on direct participation and the involvement of a Decentralized Autonomous Organization (DAO). The performance evaluation demonstrates the viability of our approach for decentralized data searches, distributed authorization mechanisms and smart contract exploitation.

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Section: Decentralized Personal Data Managementmentioning

confidence: 99%