Transparent Cloud Privacy: Data Provenance Expression in Blockchain

Gabriel Hogan; Markus Helfert

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Paper

Transparent Cloud Privacy: Data Provenance Expression in Blockchain

Topics: Cloud Risk, Challenges and Governance; Information and Service Economy; Privacy, Security and Trust; Security, Privacy and Compliance Management

In Proceedings of the 9th International Conference on Cloud Computing and Services Science CLOSER - Volume 1, 430-436, 2019 , Heraklion, Crete, Greece

Authors: Gabriel Hogan and Markus Helfert

Affiliation: ADAPT Centre, Dublin City University and Ireland

Keyword(s): Cloud, Privacy, Data Provenance, Transparency, W3C, PROV, Blockchain, Distributed Ledger Technologies.

Abstract: The development of Cloud processing and ‘Big Data’ have raised many concerns over the use to which data is being put. These concerns have created new demands for methodologies, and capabilities which can provide transparency and trust in data provenance in the Cloud. Distributed ledger technologies (DLTs) have been proposed as a possible platform to address cloud big data provenance. This paper examines the W3C recommendation for data provenance PROV and if the blockchain DLT can apply the core primary PROV attributes required to satisfy data provenance. The research shows that not all data provenance expressions can be provided by blockchain. Instances of data provenance which rely on circular references are not possible as the blockchain DLT is a single linked list.

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Paper citation in several formats:

Hogan, G. and Helfert, M. (2019). Transparent Cloud Privacy: Data Provenance Expression in Blockchain. In Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-365-0; ISSN 2184-5042, SciTePress, pages 430-436. DOI: 10.5220/0007733404300436

@conference{closer19,
author={Gabriel Hogan. and Markus Helfert.},
title={Transparent Cloud Privacy: Data Provenance Expression in Blockchain},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER},
year={2019},
pages={430-436},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007733404300436},
isbn={978-989-758-365-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER
TI - Transparent Cloud Privacy: Data Provenance Expression in Blockchain
SN - 978-989-758-365-0
IS - 2184-5042
AU - Hogan, G.
AU - Helfert, M.
PY - 2019
SP - 430
EP - 436
DO - 10.5220/0007733404300436
PB - SciTePress