2021
DOI: 10.1007/s12083-021-01243-x
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Continuous improvement of script-driven verifiable random functions for reducing computing power in blockchain consensus protocols

Abstract: In order to solve the problem of low efficiency and high energy consumption of the Proof-of-Work (PoW) consensus protocol in blockchain within a peer-to-peer network, some new protocols based on Verifiable Random Function (VRF) have emerged recently. However, these VRF-based consensus protocols do not actually give a concrete and efficient VRF construction. In view of this, we present three simple and practical VRF constructions from the RSA hardness assumption, the Decisional Diffie-Hellman (DDH) assumption a… Show more

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Cited by 6 publications
(6 citation statements)
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References 31 publications
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“…High time efficiency (Sun et al, 2021b) Scalability (Chen and Micalib, 2019;Guo et al, 2022) Decentralization (Hanke et al, 2018) Various types of attacks (David et al, Blockchain consensus mechanism entire network. However, if the block generation interval is short, the transaction confirmation speed will be faster, resulting in collisions.…”
Section: Low Communication Efficiencymentioning
confidence: 99%
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“…High time efficiency (Sun et al, 2021b) Scalability (Chen and Micalib, 2019;Guo et al, 2022) Decentralization (Hanke et al, 2018) Various types of attacks (David et al, Blockchain consensus mechanism entire network. However, if the block generation interval is short, the transaction confirmation speed will be faster, resulting in collisions.…”
Section: Low Communication Efficiencymentioning
confidence: 99%
“…To decrease the time consumption of consensus process, a RAFT consensus algorithm with leadership transfer is presented (Tan et al , 2022), which has significantly improved consensus efficiency. The propose VRF constructions (Guo et al , 2022) can significantly reduce the computing power of consensus protocol in blockchain.…”
Section: Consensus Developmentmentioning
confidence: 99%
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“…Verifiable Random Function. Verifiable random function (VRF) can generate specific outputs from specific inputs [19]. Its biggest feature is that it can verify that the output result is correct without knowing the input.…”
Section: Preliminary Knowledgementioning
confidence: 99%
“…Numerous efforts have been invested in the pursuit of diversifying and simplifying constructions and underlying assumptions of verifiable random functions [13][14][15][16][17][18][19][20][21]. Most of them are based on RSA assumption or other complex assumptions.…”
Section: Introductionmentioning
confidence: 99%