ReCon: Sybil-Resistant Consensus from Reputation
| Autor: | Daniel Feher, Alex Biryukov |
|---|---|
| Přispěvatelé: | Fonds National de la Recherche - FnR [sponsor] |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Consensus algorithm
blockchain Computer Networks and Communications Computer science media_common.quotation_subject 02 engineering and technology Computer security computer.software_genre Consensus 0202 electrical engineering electronic engineering information engineering media_common Protocol (science) Computer science [C05] [Engineering computing & technology] 020206 networking & telecommunications reputation Sciences informatiques [C05] [Ingénierie informatique & technologie] Sybil Computer Science Applications Ranking Hardware and Architecture consensus Scalability 020201 artificial intelligence & image processing computer Software Information Systems Reputation |
| Popis: | In this paper we describe how to couple reputation systems with distributed consensus protocols to provide a scalable permissionless consensus protocol with a low barrier of entry, while still providing strong resistance against Sybil attacks for large peer-to-peer networks of untrusted validators. We introduce reputation module ReCon, which can be laid on top of various consensus protocols such as PBFT or HoneyBadger. The protocol takes external reputation ranking as input and then ranks nodes based on the outcomes of consensus rounds run by a small committee, and adaptively selects the committee based on the current reputation. ReCon can tolerate larger threshold of malicious nodes (up to slightly above 1/2) compared to the 1/3 limit of BFT consensus algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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