Venue & metadata

• Journal/Proceedings: IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security
• Pages: 507 – 520
• Note: Cited by: 23
• Author keywords: Blockchain.; Cyber-physical Systems; Data Centric System; Data Privacy; Data Security; GDPR; Internet of Things; Internet of Vehicles

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.

Keywords

Big data GS Internet of things GS Network security GS Vehicle to vehicle communications GS General data protection regulations GS Information exchanging GS Internet of thing (IoTs) GS Mandatory requirement GS Mitigation strategy GS Privacy preservation GS Systems architecture GS Unauthorized access GS Data privacy GS

Links & artifacts

Publisher Copy BibTeX Download .bib

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Suggested citation

Campanile, L., Iacono, M., Marulli, F., & Mastroianni, M. (2020). Privacy regulations challenges on data-centric and iot systems: A case study for smart vehicles [Conference paper]. IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security, 507–520. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089476036&partnerID=40&md5=c18dd73c221ec312a330521bf03d332e