Distributed Random Beacon for Blockchain Based on Share Recovery Threshold Signature

Author:

Zhu YanORCID,Li BingyuORCID,Yang Yang,Ding Zhenyang,Zheng Haibing,He Guangyu,Hou Shengjie

Abstract

Random beacons play a crucial role in blockchains. Most random beacons in a blockchain are performed in a distributed approach to secure the generation of random numbers. However, blockchain nodes are in an open environment and are vulnerable to adversary reboot attacks. After such an attack, the number of members involved in a random number generation decreases. The random numbers generated by the system become insecure. To solve this problem while guaranteeing fast recovery of capabilities, we designed a threshold signature scheme based on share recovery. A bivariate polynomial was generated among the participants in the distributed key generation phase. While preserving the threshold signature key share, it can also help participants who lost their shares to recover. The same threshold setting for signing and recovery guarantees the security of the system. The results of our scheme show that we take an acceptable time overhead in distributed key generation and simultaneously enrich the share recovery functionality for the threshold signature-based random number generation scheme.

Funder

Open Program of Neusoft Corporation

Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference41 articles.

1. Ouroboros praos: An adaptively-secure, semi-synchronous proof-of-stake blockchain;David,2018

2. Algorand: Scaling byzantine agreements for cryptocurrencies;Gilad;Proceedings of the ACM Symposium on Operating Systems Principles,2017

3. Dfinity Technology Overview Series, Consensus System;Hanke;arXiv,2018

4. Practical Byzantine Fault Tolerance;Castro;OsDI,1999

5. Omniledger: A secure, scale-out, decentralized ledger via sharding;Kokoris-Kogias;Proceedings of the IEEE Symposium on Security and Privacy,2018

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