Privacy regulations challenges on data-centric and iot systems: A case study for smart vehicles

Published in IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security, 2020

Recommended citation: Lelio Campanile, Mauro Iacono, Fiammetta Marulli, Michele Mastroianni, "Privacy regulations challenges on data-centric and iot systems: A case study for smart vehicles." IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security, 2020. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089476036&partnerID=40&md5=c18dd73c221ec312a330521bf03d332e

Cited by: 15

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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 for 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. Copyright © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

Author Keywords: Blockchain.; Cyber-physical Systems; Data Centric System; Data Privacy; Data Security; GDPR; Internet of Things; Internet of Vehicles

Bibtex citation:

@CONFERENCE{Campanile2020507,
    author = "Campanile, Lelio and Iacono, Mauro and Marulli, Fiammetta and Mastroianni, Michele",
    title = "Privacy regulations challenges on data-centric and iot systems: A case study for smart vehicles",
    year = "2020",
    journal = "IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security",
    pages = "507 – 520",
    type = "Conference paper"
}

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