Authors:
Laurent Gomez
1
;
Francesco Capano
1
and
Patrick Duverger
2
Affiliations:
1
SAP Labs France, SAP Security Research, Mougins, France
;
2
Chief Information Officer, City of Antibes, France
Keyword(s):
Privacy Enhancing Technique (PET), Blockchain, Trusted Execution Environment (TEE), Cross- Organisation Collaboration.
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 evalu
ated the feasibility and performance of our approach on a public procurement use case, demonstrating a 5% decrease in late payment penalties.
(More)