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  4. Tokenized Ecosystem of Personal Data - Exemplified on the Context of the Smart City
 

Tokenized Ecosystem of Personal Data - Exemplified on the Context of the Smart City

URI
https://arbor.bfh.ch/handle/arbor/38562
Version
Published
Date Issued
2017
Author(s)
Frecè, Jan Thomas  
Selzam, Thomas
Type
Article
Language
English
Subjects

Decentralized Data St...

Data Self-Determinati...

Zero-Knowledge

Distributed Ledger Te...

Tokenization

Abstract
Data driven businesses, services, and even smart cities of tomorrow depend on access to data not only from machines, but also personal data of consumers, clients, citizens. Sustain-able utilization of such data must base on legal compliancy, ethical soundness, and consent. Data subjects nowadays largely lack empowerment over utilization and monetization of their personal data. To change this, we propose a tokenized ecosystem of personal data (TokPD), combining anonymization, referencing, encryption, decentralization, and functional layering to establish a privacy preserving solution for processing of personal data. This tokenized ecosys-tem is a more generalized variant of the smart city ecosystem described in the preceding publi-cation "Smart Cities of Self-Determined Data Subjects" (Frecè & Selzam 2017) with focus to-wards further options of decentralization. We use the example of a smart city to demonstrate, how TokPD ensures the data subjects’ privacy, grants the smart city access to a high number of new data sources, and simultaneously handles the user-consent to ensure compliance with mod-ern data protection regulation.
DOI
10.24451/arbor.7184
https://doi.org/10.24451/arbor.7184
Journal
eJournal of eDemocracy and Open Government
ISSN
2075-9517
Publisher URL
https://doi.org/10.29379/jedem.v9i2.463
Organization
Nachhaltiger Konsum  
Wirtschaft  
Volume
9
Issue
2
Publisher
JeDEM
Submitter
ServiceAccount
Citation apa
Frecè, J. T., & Selzam, T. (2017). Tokenized Ecosystem of Personal Data - Exemplified on the Context of the Smart City. In eJournal of eDemocracy and Open Government (Vol. 9, Issue 2). JeDEM. https://doi.org/10.24451/arbor.7184
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Attribution 4.0 International
Version
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Size

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Format

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