Article (Scientific journals)
ReCon: Sybil-Resistant Consensus from Reputation
Biryukov, Alex; Feher, Daniel
2020In Pervasive and Mobile Computing
Peer reviewed
 

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Keywords :
blockchain; consensus; Sybil; reputation
Abstract :
[en] 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.
Disciplines :
Computer science
Author, co-author :
Biryukov, Alex ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Feher, Daniel ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
ReCon: Sybil-Resistant Consensus from Reputation
Publication date :
2020
Journal title :
Pervasive and Mobile Computing
ISSN :
1574-1192
Publisher :
Elsevier, Netherlands
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR11684537 - Security, Scalability, And Privacy In Blockchain Applications And Smart Contracts, 2017 (01/08/2018-31/07/2021) - Alex Biryukov
Name of the research project :
FinCrypt R-AGR-3328
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 17 December 2019

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