Tracking GDPR Compliance in Cloud-Based Service Delivery
Open accessAbstract
The European General Data Protection Regulation (GDPR) has had a far-reaching impact on data privacy and compliance for cloud providers. GDPR influences access to, storage, processing and transmission of personal data, requiring these operations to be verified by a cloud user through explicit consent prior to execution. GDPR rules implemented for such operations can be ambiguous and often open to interpretation, making manual verification a time consuming and error prone process for cloud providers. An encoding of GDPR rules is described, with each operation carried out using these rules recorded into a Blockchain for auditing purposes. Specifically, this work shows how some GDPR rules can appear asopcodesin smart contracts to verify the operations of providers on user data in a transparent and automatic way. An abstract model is designed to demonstrate how cloud providers can access and deploy such smart contracts through a Blockchain-based virtual machine. A case study is used to demonstrate how this approach can be used in practice. The case study uses a collection of design patterns and smart contracts to verify provider operations, includingread,write,executionandtransferon user data. Validation is undertaken by deploying the smart contracts in a Blockchain test network to investigate the execution costs of GDPR compliance checking.
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The UK Data Protection Act defines personal data information as a collection of relevant data of a living natural person through which a natural person can be identified, including the expression of any views of the person concerned and the intention of that person or others.
“in the Data Protection Act of the United Kingdom, it is clear that personal data information refers to a collection of the relevant data of a living natural person through which a natural person can be identified, including the expression of any views of the person concerned and the intention of that person or others [110].”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [110]
The paper’s discussion of GDPR says a data subject can be identified directly or indirectly through a name, location, or IP address, supporting the identifiability aspect. It does not state a definition from the UK Data Protection Act or mention the person’s views or intentions as part of that definition. (LLM, conf=0.78)
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A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3372518 · Cited by 172 · see citing works
- Authors
- Barati, M., & Rana, O.
- Affiliations
- Cardiff University (GB)
- Venue
- IEEE Transactions on Services Computing
- Published
- 2022-05-01
- Volume
- 15
- Issue
- 3
- Pages
- 1498-1511
- ISSN
- 1939-1374 (ISSN-L)
- 2372-0204
- OpenAlex
- W3033084289
- Cited by
- 51
- References
- 3
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 9 · 2023: 13 · 2022: 4 · 2021: 8 · 2012: 1
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- IEEE Transactions on Services Computing (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Research Output (Edinburgh Napier University) (submittedVersion)
- Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Engineering and Physical Sciences Research Council (EP/R033439/1)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- GDPR compliance, data privacy, cloud service providers, blockchain, smart contracts, personal data processing, compliance audit, data protection regulation
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