FruitChains: A fair blockchain

Rafael Pass, Elaine Shi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

245 Scopus citations

Abstract

Nakamoto's famous blockchain protocol enables achieving consensus in a so-called permissionless setting - anyone can join (or leave) the protocol execution, and the protocol instructions do not depend on the identities of the players. His ingenious protocol prevents "sybil attacks" (where an adversary spawns any number of new players) by relying on computational puzzles (a.k.a. "moderately hard functions") introduced by Dwork and Naor (Crypto'92). Recent work by Garay et al (EuroCrypt'15) and Pass et al (manuscript, 2016) demonstrate that this protocol provably achieves consistency and liveness assuming a) honest players control a majority of the computational power in the network, b) the puzzle-hardness is appropriately set as a function of the maximum network delay and the total computational power of the network, and c) the computational puzzle is modeled as a random oracle. Assuming honest participation, however, is a strong assumption, especially in a setting where honest players are expected to perform a lot of work (to solve the computational puzzles). In Nakamoto's Bitcoin application of the blockchain protocol, players are incentivized to solve these puzzles by receiving rewards for every "block" (of transactions) they contribute to the blockchain. An elegant work by Eyal and Sirer (FinancialCrypt'14), strengthening and formalizing an earlier attack discussed on the Bitcoin forum, demonstrates that a coalition controlling even a minority fraction of the computational power in the network can gain (close to) 2 times its "fair share" of the rewards (and transaction fees) by deviating from the protocol instructions. In contrast, in a fair protocol, one would expect that players controlling a φ fraction of the computational resources to reap a φ fraction of the rewards. We present a newblockchain protocol - the FruitChain protocol - which satisfies the same consistency and liveness properties as Nakamoto's protocol (assuming an honest majority of the computing power), and additionally is δ-approximately fair: with overwhelming probability, any honest set of players controlling a φ fraction of computational power is guaranteed to get at least a fraction (1 - δ)φ of the blocks (and thus rewards) in any Ω(κ/δ) length segment of the chain (where κ is the security parameter). Consequently, if this blockchain protocol is used as the ledger underlying a cryptocurrency system, where rewards and transaction fees are evenly distributed among the miners of blocks in a length κ segment the chain, no coalition controlling less than a majority of the computing power can gain more than a factor (1 + 3δ) by deviating from the protocol (i.e., honest participation is an n/2 -coalition-safe 3δ-Nash equilibrium). Finally, the FruitChain protocol enables decreasing the variance of mining rewards and as such significantly lessens (or even obliterates) the need for mining pools.

Original languageEnglish
Title of host publicationPODC 2017 - Proceedings of the ACM Symposium on Principles of Distributed Computing
PublisherAssociation for Computing Machinery
Pages315-324
Number of pages10
ISBN (Electronic)9781450349925
DOIs
StatePublished - 26 Jul 2017
Externally publishedYes
Event36th ACM Symposium on Principles of Distributed Computing, PODC 2017 - Washington, United States
Duration: 25 Jul 201727 Jul 2017

Publication series

NameProceedings of the Annual ACM Symposium on Principles of Distributed Computing
VolumePart F129314

Conference

Conference36th ACM Symposium on Principles of Distributed Computing, PODC 2017
Country/TerritoryUnited States
CityWashington
Period25/07/1727/07/17

Funding

FundersFunder number
CNS-1544613CNS-1561209
CNS-1217821CNS-1314857
CNS-1314857CNS-1514261
CNS-1561209CNS-1601879
Office of Naval Research
CNS-1617676
CNS-1601879CNS-1617676
Air Force Office of Scientific ResearchFA9550-15-1-0262
National Stroke FoundationCNS-1217821
Microsoft
Google
CNS-1514261CNS-1544613

    Keywords

    • Blockchains
    • Distributed consensus
    • Fairness
    • Nash equilibrium

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