Cited by 72Blockchain Technology Applications and SecurityDigitalization, Law, and RegulationPrivacy, Security, and Data Protection

GDPR Compliance Verification in Internet of Things

Open access
Barati, Masoud, Rana, Omer, Petri, Ioan, Theodorakopoulos, George·2020·IEEE Access

Abstract

Data privacy in Internet of Things (IoT) applications remains a major concern of regulation bodies.The introduction of the European General Data Protection Regulation (GDPR) enables users to control how their data is accessed and processed, requiring consent from users before any data manipulation is carried out on their (personal) data by smart devices or cloud-hosted services.Blockchains provide the benefits of a distributed and immutable ledger recording digital transactions across a global network of peer nodes.Blockchain support for tracking of operations carried out by an IoT-based system provides greater confidence to a user that the IoT device is not infringing user privacy (as the Blockchain can be audited to verify which operation was carried out, by which actor).A formal model (following the privacy-bydesign approach) is proposed for supporting GDPR compliance checking for smart devices.The privacy requirements of such applications are related to GDPR obligations of device (and software systems) operators (such as user consent, data protection, right to forget etc).Three smart contracts are proposed as a practical solution to support automated verification of operations carried out by devices on user data, in accordance with GDPR rules.We evaluate the performance and scalability costs of our approach using a Blockchain test network.

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  • Wu et al. reviewed security and privacy issues in the use, storage, and processing of IoT data using edge intelligence.

    “Wu et al. [107] reviewed the security and privacy issues in the use, storage, and processing of IoT data using edge intelligence.”

    From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [107]

    The Introduction discusses privacy and security concerns in IoT data use and storage, and the blockchain-based model section mentions edge computing gateways. Neither passage describes a Wu et al. review of security and privacy issues involving edge intelligence. Searches for that review and for edge intelligence found no supporting passage in our copy. (LLM, conf=0.72)

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Authors
Barati, M., Rana, O., Petri, I., & Theodorakopoulos, G.
Affiliations
Cardiff University (GB)
Venue
IEEE Access
Published
2020
Volume
8
Pages
119697-119709
ISSN
2169-3536 (ISSN-L)
OpenAlex
W3038333533
Cited by
72
References
4
Citations by year
2026: 12 · 2025: 15 · 2024: 13 · 2023: 15 · 2022: 7 · 2021: 9 · 2012: 1
FWCI
7.30
Type
journal article
Language
en
Open access
Locations
  • IEEE Access (publishedVersion, cc-by)
  • Research Output (Edinburgh Napier University) (publishedVersion, other-oa)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion, cc-by)
  • Newcastle University ePrints (Newcastle Univesity)
Funders
  • EPSRC (EP/R033439/1)
  • Project title: “PACE: Privacy-aware Cloud Ecosystems.”
  • extend appreciation to the Deanship of Scientific Research at Princess Nourah bint Abdualrahman University for supporting his work through the visiting scholar program
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
GDPR compliance, Internet of Things, blockchain, smart contracts, data privacy, privacy by design, user consent, right to be forgotten, data protection, smart devices, compliance verification

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