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Authors: Lelio Campanile ; Mauro Iacono ; Fiammetta Marulli and Michele Mastroianni

Affiliation: Dipartimento di Matematica e Fisica, Università degli Studi della Campania ”L.Vanvitelli”, Viale A. Lincoln, 5, Caserta, Italy

ISBN: 978-989-758-426-8

Keyword(s): Internet of Things, Data Centric System, Internet of Vehicles, GDPR, Data Privacy, Data Security, Cyber-physical Systems, Blockchain.

Abstract: Internet of Things (IoTs) services and data-centric systems allow smart and efficient information exchanging. Anyway, even if existing IoTs and cyber security architectures are enforcing, they are still vulnerable to security issues, as unauthorized access, data breaches, intrusions. They can’t provide yet sufficiently robust and secure solutions to be applied in a straightforward way, both for ensuring privacy preservation and trustworthiness of transmitted data, evenly preventing from its fraudulent and unauthorized usage. Such data potentially include critical information about persons’ privacy (locations, visited places, behaviors, goods, anagraphic data and health conditions). So, novel approaches for IoTs and data-centric security are needed. In this work, we address IoTs systems security problem focusing on the privacy preserving issue. Indeed, after the European Union introduced the General Data Protection Regulation (GDPR), privacy data protection is a mandatory requirement f or systems producing and managing sensible users’ data. Starting from a case study for the Internet of Vehicles (IoVs), we performed a pilot study and DPIA assessment to analyze possible mitigation strategies for improving the compliance of IoTs based systems to GDPR requirements. Our preliminary results evidenced that the introduction of blockchains in IoTs systems architectures can improve significantly the compliance to privacy regulations. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Campanile, L.; Iacono, M.; Marulli, F. and Mastroianni, M. (2020). Privacy Regulations Challenges on Data-centric and IoT Systems: A Case Study for Smart Vehicles.In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs , ISBN 978-989-758-426-8, pages 507-518. DOI: 10.5220/0009839305070518

@conference{ai4eiots 20,
author={Lelio Campanile. and Mauro Iacono. and Fiammetta Marulli. and Michele Mastroianni.},
title={Privacy Regulations Challenges on Data-centric and IoT Systems: A Case Study for Smart Vehicles},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs ,},
year={2020},
pages={507-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009839305070518},
isbn={978-989-758-426-8},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs ,
TI - Privacy Regulations Challenges on Data-centric and IoT Systems: A Case Study for Smart Vehicles
SN - 978-989-758-426-8
AU - Campanile, L.
AU - Iacono, M.
AU - Marulli, F.
AU - Mastroianni, M.
PY - 2020
SP - 507
EP - 518
DO - 10.5220/0009839305070518

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