Blockchain Consensus Protocols in the Wild

By Christian Cachin, Marko Vukolic. International Symposium on Distributed Computing, 2017

667 citations recorded by the source corpus.

A blockchain is a distributed ledger for recording transactions, maintained by many nodes without central authority through a distributed cryptographic protocol. All nodes validate the information to be appended to the blockchain, and a consensus protocol ensures that the nodes agree on a unique order in which entries are appended. Consensus protocols for tolerating Byzantine faults have received renewed attention because they also address blockchain systems. This work discusses the process of assessing and gaining confidence in the resilience of a consensus protocols exposed to faults and adversarial nodes. We advocate to follow the established practice in cryptography and computer security, relying on public reviews, detailed models, and formal proofs; the designers of several practical systems appear to be unaware of this. Moreover, we review the consensus protocols in some prominent permissioned blockchain platforms with respect to their fault models and resilience against attacks. The protocol comparison covers Hyperledger Fabric, Tendermint, Symbiont, R3~Corda, Iroha, Kadena, Chain, Quorum, MultiChain, Sawtooth Lake, Ripple, Stellar, and IOTA.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/26a286e447cd78227eddc801a5d9816e0215834b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. João Sousa
  2. Alysson Neves Bessani
  3. Marko Vukolic
  4. Alberto Sonnino
  5. Wenjing Lou
  6. Ning Zhang
  7. Yiwei Thomas Hou
  8. Sarah Meiklejohn

In Computer Networks and Communications

  1. Marko Vukolic
  2. Christian Cachin
  3. João Sousa
  4. Alysson Neves Bessani
  5. Petr Musilek
  6. Bahareh Lashkari
  7. George Danezis
  8. Alberto Sonnino

In Information Systems

  1. Petr Musilek
  2. Bahareh Lashkari
  3. Alysson Neves Bessani
  4. João Sousa
  5. Yiwei Thomas Hou
  6. Christian Cachin
  7. Patrick McCorry
  8. Marko Vukolic

Citations in the corpus