Delegated Proof of Secret Sharing: A Privacy-Preserving Consensus Protocol Based on Secure Multiparty Computation for IoT Environment

Author:

Geng TiemingORCID,Njilla Laurent,Huang Chin-TserORCID

Abstract

With the rapid advancement and wide application of blockchain technology, blockchain consensus protocols, which are the core part of blockchain systems, along with the privacy issues, have drawn much attention from researchers. A key aspect of privacy in the blockchain is the sensitive content of transactions in the permissionless blockchain. Meanwhile, some blockchain applications, such as cryptocurrencies, are based on low-efficiency and high-cost consensus protocols, which may not be practical and feasible for other blockchain applications. In this paper, we propose an efficient and privacy-preserving consensus protocol, called Delegated Proof of Secret Sharing (DPoSS), which is inspired by secure multiparty computation. Specifically, DPoSS first uses polynomial interpolation to select a dealer group from many nodes to maintain the consensus of the blockchain system, in which the dealers in the dealer group take turns to pack the new block. In addition, since the content of transactions is sensitive, our proposed design utilizes verifiable secret sharing to protect the privacy of transmission and defend against the malicious attacks. Extensive experiments show that the proposed consensus protocol achieves fairness during the process of reaching consensus.

Publisher

MDPI AG

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Reference38 articles.

1. Distributed consensus protocols and algorithms;Xiao;Blockchain Distrib. Syst. Secur.,2019

2. Bitcoin: A peer-to-peer electronic cash system;Nakamoto;Decentralized Bus. Rev.,2008

3. Bitcoin Consumes More Electricity than Argentina https://www.bbc.com/news/technology-56012952

4. Proof-of-Stake (PoS) https://www.investopedia.com/terms/p/proof-stake-pos.asp

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