Privacy-Preserving Initial Public Offering using SCALE-MAMBA and Hyperledger Fabric

We consider Initial Public Offering (IPO) on blockchains while preserving privacy using Secure Multiparty Computation (MPC), which allows participants to perform a computation on secret data. We provide "MPC as a service", where users requiring a computation distributes shares of their dat...

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Bibliographic Details
Main Authors: Benmouffok, Lucas, Singh, Kalpana, Heulot, Nicolas, Augot, Daniel
Format: Conference Proceeding
Language:English
Subjects:
Collaboration
Conferences
Data privacy
Distributed ledger
Fabrics
Hyperledger Fabric
Initial Public Offering
Protocols
SCALE-MAMBA
Secure Multiparty Computation
Systems architecture
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Summary:We consider Initial Public Offering (IPO) on blockchains while preserving privacy using Secure Multiparty Computation (MPC), which allows participants to perform a computation on secret data. We provide "MPC as a service", where users requiring a computation distributes shares of their data to MPC workers who run an MPC protocol on the shares and return the result. Previous work by Benhamouda et al. considered IPO over Hyperledger Fabric. We improve by providing a tighter and easier integration of MPC protocol in Fabric using the MPC library SCALE-MAMBA. We explain the obtained security benefits and experimental results are provided.
ISSN:2641-8169
DOI:10.1109/WETICE53228.2021.00027