TrustBoost: Boosting Trust among Interoperable Blockchains

Peiyao Sheng, Xuechao Wang, Sreeram Kannan, Kartik Nayak, Pramod Viswanath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently there exist many blockchains with weak trust guarantees, limiting applications and participation. Existing solutions to boost the trust using a stronger blockchain, e.g., via checkpointing, requires the weaker blockchain to give up sovereignty. In this paper, we propose a family of protocols in which multiple blockchains interact to create a combined ledger with boosted trust. We show that even if several of the interacting blockchains cease to provide security guarantees, the combined ledger continues to be secure - our TrustBoost protocols achieve the optimal threshold of tolerating the insecure blockchains. This optimality, along with the necessity of blockchain interactions, is formally shown within the classic shared memory model, tackling the long standing open challenge of solving consensus in the presence of both Byzantine objects and processes. Furthermore, our proposed construction of TrustBoost simply operates via smart contracts and require no change to the underlying consensus protocols of the participating blockchains, a form of “consensus on top of consensus”. The protocols are lightweight and can be used on specific (e.g., high value) transactions; we demonstrate the practicality by implementing and deploying TrustBoost as cross-chain smart contracts in the Cosmos ecosystem using approximately 3,000 lines of Rust code, made available as open source [52]. Our evaluation shows that using 10 Cosmos chains in a local testnet, TrustBoost has a gas cost of roughly $2 with a latency of 2 minutes per request, which is in line with the cost on a high security chain such as Bitcoin or Ethereum.

Original languageEnglish (US)
Title of host publicationCCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery, Inc
Pages1571-1584
Number of pages14
ISBN (Electronic)9798400700507
DOIs
StatePublished - Nov 15 2023
Event30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023 - Copenhagen, Denmark
Duration: Nov 26 2023Nov 30 2023

Publication series

NameCCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

Conference

Conference30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023
Country/TerritoryDenmark
CityCopenhagen
Period11/26/2311/30/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

Keywords

  • consensus
  • cross-chain interoperability
  • smart contracts

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