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  5. Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization
 
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Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization

Author(s)
Campanile, Lelio  
Cantiello, Pasquale  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia  
Iacono, Mauro  
Marulli, Fiammetta  
Mastroianni, Michele  
Editor(s)
Gervasi, Osvaldo  
Language
English
Obiettivo Specifico
3IT. Calcolo scientifico
Publisher
Springer Nature Switzerland
Status
Published
Pages Number
3-14
Refereed
Yes
Journal
ICCSA 2021: Computational Science and Its Applications – ICCSA 2021  
Date Issued
2021
Alternative Location
https://doi.org/10.1007/978-3-030-87010-2_1
ISBN
978-3-030-87009-6
URI
https://www.earth-prints.org/handle/2122/15032
Subjects
05.09. Miscellaneous  
Subjects

Blockchain

Privacy

Gdpr

IoV

Risk analysis

Pseudonymization

Abstract
Blockchains provide a valid and profitable support for the implementation of trustable and secure distributed ledgers, in support to groups of subjects that are potentially competitors in conflict of interest but need to share progressive information recording processes.
Blockchains prevent data stored in blocks from being altered or deleted, but there are situations in which stored information must be deleted or made inaccessible on request or periodically, such as the ones in which GDPR is applicable. In this paper we present literature solutions and design an implementation in the context of a traffic management
system for the Internet of Vehicles based on the Pseudonymization/Cryptography solution, evaluating its viability, its GDPR compliance and its level of risk.
Type
book chapter
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