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

• Published in: Computational Science and Its Applications - ICCSA 2021 Vol. 12956; pp. 3 - 14
• Main Authors: Campanile, Lelio, Cantiello, Pasquale, Iacono, Mauro, Marulli, Fiammetta, Mastroianni, Michele
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2021; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Blockchain; GDPR; IoV; Privacy; Pseudonymization; Risk analysis
• ISBN: 9783030870096; 303087009X
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-87010-2_1

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.