Title
Incentive Analysis Of Bitcoin-Ng, Revisited
Abstract
Bitcoin-NG is among the first blockchain protocols to approach the near-optimal throughput by decoupling blockchain operation into two planes: leader election and transaction serialization. Its decoupling idea has inspired a new generation of high-performance blockchain protocols. However, the existing incentive analysis of Bitcoin-NG has several limitations. First, the impact of network capacity is ignored. Second, an integrated incentive analysis that jointly considers both key blocks and microblocks is still missing.In this paper, we aim to address these two limitations. First, we propose a new incentive analysis that takes the network capacity into account, showing that Bitcoin-NG can still maintain incentive compatibility against the microblock mining attack even under limited network capacity. Second, we leverage a Markov decision process (MDP) to jointly analyze the incentive of both key blocks and microblocks, showing that the selfish mining revenue of Bitcoin-NG is a little higher than that in Bitcoin only when the selfish miner controls more than 35% of the mining power. We hope that our in-depth incentive analysis for Bitcoin-NG can shed some light on the mechanism design and incentive analysis of next-generation blockchain protocols. (C) 2020 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2020
10.1016/j.peva.2020.102144
PERFORMANCE EVALUATION
Keywords
DocType
Volume
Blockchains, Bitcoin, Bitcoin-NG, Nakamoto Consensus, Incentive Analysis, Markov decision process (MDP)
Journal
144
ISSN
Citations 
PageRank 
0166-5316
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Niu Jianyu122.40
Wang Ziyu200.34
Gai Fangyu300.34
Chen Feng442.80