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

Abstract : 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.
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Submitted on : Wednesday, September 15, 2021 - 4:37:13 PM
Last modification on : Sunday, June 26, 2022 - 3:13:36 AM
Long-term archiving on: : Thursday, December 16, 2021 - 7:15:44 PM


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  • HAL Id : hal-03345605, version 1


Lucas Benmouffok, Kalpana Singh, Nicolas Heulot, Daniel Augot. Privacy-Preserving Initial Public Offering using SCALE-MAMBA and Hyperledger Fabric. ChainTech’2021 is a track of WETICE : the 31st IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, Oct 2021, Basque Coast, Bayonne, France. ⟨hal-03345605⟩



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