Sybil-resilient conductance-based community growth

Ouri Poupko, Gal Shahaf, Ehud Shapiro, Nimrod Talmon

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

1 Scopus citations

Abstract

Preventing fake or duplicate e-identities (aka sybils) from joining an e-community may be crucial to its survival, especially if it utilizes a consensus protocol among its members or employs democratic governance, where sybils can undermine consensus, tilt decisions, or even take over. Here, we explore the use of a trust graph of identities, with trust edges representing trust among identity owners, to allow a community to grow without increasing its sybil penetration. Since identities are admitted to the e-community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the e-community. Sybils and their corrupt perpetrators are together referred to as Byzantines, and our overarching aim is to limit their penetration into an e-community. Our key tool in achieving this is graph conductance, and our key assumption is that honest people are averse to corrupt ones and tend to distrust them. Of particular interest is keeping the fraction of Byzantines below one third, as it would allow the use of Byzantine Agreement (see Lamport et al. The Byzantine generals problem, ACM Transactions on Programming Languages and Systems, 4(3):382–401, 1982) for consensus as well as for sybil-resilient social choice (see Shahaf et al., Sybil-resilient reality-aware social choice, arXiv preprint arXiv:1807.11105, 2019). We consider sequences of incrementally growing trust graphs and show that, under our key assumption and additional requirements, including keeping the conductance of the community trust graph sufficiently high, a community may grow safely.

Original languageEnglish
Title of host publicationComputer Science – Theory and Applications - 14th International Computer Science Symposium in Russia, CSR 2019, Proceedings
EditorsRené van Bevern, Gregory Kucherov
PublisherSpringer Verlag
Pages359-371
Number of pages13
ISBN (Print)9783030199548
DOIs
StatePublished - 1 Jan 2019
Event14th International Computer Science Symposium in Russia, CSR 2019 - Novosibirsk, Russian Federation
Duration: 1 Jul 20195 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11532 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Computer Science Symposium in Russia, CSR 2019
Country/TerritoryRussian Federation
CityNovosibirsk
Period1/07/195/07/19

Keywords

  • Conductance
  • Graph theory
  • Sybil resilience

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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