Transparent Cloud Privacy: Data Provenance Expression in Blockchain

Gabriel Hogan, Markus Helfert

2019

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.

Paper Citation

in Harvard Style

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 - Volume 1: CLOSER, ISBN 978-989-758-365-0, pages 430-436. DOI: 10.5220/0007733404300436

in Bibtex Style

@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 - Volume 1: CLOSER,},
year={2019},
pages={430-436},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007733404300436},
isbn={978-989-758-365-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Transparent Cloud Privacy: Data Provenance Expression in Blockchain
SN - 978-989-758-365-0
AU - Hogan G.
AU - Helfert M.
PY - 2019
SP - 430
EP - 436
DO - 10.5220/0007733404300436