Security for Next-Gen Analytics for Cross-Organisation Collaboration

Laurent Gomez, Francesco Capano, Patrick Duverger

2023

Abstract

With the global economic and energy crisis, businesses are under pressure to create more financially sustainable and environmentally-aware industries. To that extent, organizations rely on advanced analytics to optimize their business operations and mitigate risks. However, the increasing complexity of cross-organizational collaboration and ever-stricter data protection obligations pose two conflicting objectives: achieving transparency in collaborative processes - mandatory for data and process mining - while adhering to data protection obligations. In this paper, we elaborate on an approach for privacy-preserving analytics, on data shared along cross-organization collaborations. Our strategy is two-fold: (1) transparency and traceability in cross-organization collaboration, leveraging distributed ledger technologies, and (2) privacy-preserving data and process analytics, using hardware-assisted PET, Privacy Enhancing Technology. In a co-innovation with the city of Antibes, we evaluated the feasibility and performance of our approach on a public procurement use case, demonstrating a 5% decrease in late payment penalties.

Paper Citation

in Harvard Style

Gomez L., Capano F. and Duverger P. (2023). Security for Next-Gen Analytics for Cross-Organisation Collaboration. In Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-666-8, SciTePress, pages 604-609. DOI: 10.5220/0012044900003555

in Bibtex Style

@conference{secrypt23,
author={Laurent Gomez and Francesco Capano and Patrick Duverger},
title={Security for Next-Gen Analytics for Cross-Organisation Collaboration},
booktitle={Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2023},
pages={604-609},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012044900003555},
isbn={978-989-758-666-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - Security for Next-Gen Analytics for Cross-Organisation Collaboration
SN - 978-989-758-666-8
AU - Gomez L.
AU - Capano F.
AU - Duverger P.
PY - 2023
SP - 604
EP - 609
DO - 10.5220/0012044900003555
PB - SciTePress