Multi-Party Computation as a Data Sharing Solution for Compliance Monitoring
An Exploratory Study in the Domain of Battery Circularity
W. Agahari (Tilburg University, TU Delft - Information and Communication Technology)
B.D. Rukanova (TU Delft - Innovation Affairs)
J Ubacht (TU Delft - Information and Communication Technology)
Yao Hua Tan (TU Delft - Information and Communication Technology)
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Abstract
Monitoring the circular economy (CE) transition requires data sharing and collaboration between public and private actors. However, businesses are reluctant to share data with authorities for monitoring purposes due to fear of losing control over sensitive data. The emerging technology Multi-Party Computation (MPC), which enables collaborative data analysis while maintaining data control, could address barriers in business-to-government (B2G) data sharing and collaboration. This ongoing research aims to explore the potential of MPC in facilitating B2G data sharing and collaboration for CE monitoring under the conditions of inter-organizational trust and data control. Drawing on a B2G data sharing framework, our initial findings suggest that MPC can benefit authorities in accessing sensitive business data, while businesses can benefit from controlling shared data for compliance reporting. As MPC can be deployed in various architectures, the next research steps are to examine links between variants of MPC architectures and different data-sharing solutions.
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