BlockSci: Design and applications of a blockchain analysis platform

Harry Kalodner, Malte Möser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, Arvind Narayanan

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

7 Scopus citations

Abstract

Analysis of blockchain data is useful for both scientific research and commercial applications. We present BlockSci, an open-source software platform for blockchain analysis. BlockSci is versatile in its support for different blockchains and analysis tasks. It incorporates an in-memory, analytical (rather than transactional) database, making it orders of magnitudes faster than using general-purpose graph databases. We describe BlockSci's design and present four analyses that illustrate its capabilities, shedding light on the security, privacy, and economics of cryptocurrencies.

Original languageEnglish (US)
Title of host publicationProceedings of the 29th USENIX Security Symposium
PublisherUSENIX Association
Pages2721-2738
Number of pages18
ISBN (Electronic)9781939133175
StatePublished - 2020
Event29th USENIX Security Symposium - Virtual, Online
Duration: Aug 12 2020Aug 14 2020

Publication series

NameProceedings of the 29th USENIX Security Symposium

Conference

Conference29th USENIX Security Symposium
CityVirtual, Online
Period8/12/208/14/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Safety, Risk, Reliability and Quality

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