Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Privacy-aware cloud ecosystems: Architecture and performance

Barati, Masoud and Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 2021. Privacy-aware cloud ecosystems: Architecture and performance. Concurrency and Computation: Practice and Experience 33 (23) , e5852. 10.1002/cpe.5852

[thumbnail of Barati & Rana_Privacy Aware could ecosystems cpe.5852.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (955kB) | Preview
License URL: http://creativecommons.org/licenses/by/4.0
License Start date: 3 June 2020

Abstract

With an increasing number of cloud providers offering services made use of by both individual users and other providers, there is a realization that service provision now involves an “ecosystem” of providers. Some providers may be directly visible to a user, while others may be contributors to composite services and not directly known to the user—as only the provider offering the composite service is visible. Such services may include: domain specific services (eg, simulation), advertising services, or profiling/analytics services. Understanding the impact on data privacy of a user for such a composite service remains a challenge, and providing transparency (and obtaining user consent for data use) remains a key requirement of the European General Data Protection Regulation (GDPR). An architecture that makes use of blockchains and smart contracts is proposed that addresses this requirement. An implementation of the architecture is used to demonstrate how access control can be managed and audited. The scalability and cost of undertaking access control, as the number of actors (both service providers and “voters”) increases, is also described. The proposed approach can be used to support service aggregation across both private and public clouds.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Additional Information: This is an open access article under the terms of the Creative Commons Attribution License
Publisher: Wiley
ISSN: 1532-0626
Funders: EPSRC
Date of First Compliant Deposit: 5 June 2020
Date of Acceptance: 2 May 2020
Last Modified: 06 Jul 2023 17:46
URI: https://orca.cardiff.ac.uk/id/eprint/132209

Citation Data

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics