Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/15032
Authors: Campanile, Lelio* 
Cantiello, Pasquale* 
Iacono, Mauro* 
Marulli, Fiammetta* 
Mastroianni, Michele* 
Editors: Gervasi, Osvaldo 
Title: Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization
Publisher: Springer Nature Switzerland
Issue Date: 2021
URL: https://doi.org/10.1007/978-3-030-87010-2_1
ISBN: 978-3-030-87009-6
Keywords: Blockchain
Privacy
Gdpr
IoV
Risk analysis
Pseudonymization
Subject Classification05.09. Miscellaneous 
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.
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