TY - GEN
T1 - Multi-Party computation as a data sharing solution for compliance monitoring
T2 - 2024 Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart, EGOV-CeDEM-ePart-Ongoing 2024
AU - Agahari, Wirawan
AU - Rukanova, Boriana
AU - Ubacht, Jolien
AU - Tan, Yao Hua
N1 - Publisher Copyright:
© 2024 Copyright for this paper by its authors.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - batteries
KW - business-to-government
KW - circular economy monitoring
KW - data sharing
KW - multi-party computation
KW - privacy-enhancing technologies
UR - http://www.scopus.com/inward/record.url?scp=85200747806&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85200747806
VL - 3737
T3 - CEUR Workshop Proceedings
BT - Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart 2024
PB - ceur-ws.org
Y2 - 1 September 2024 through 5 September 2024
ER -