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BlockSci: Design and applications of a blockchain analysis platform

Author(s): Kalodner, Harry; Möser, Malte; Lee, Kevin; Goldfeder, Steven; Plattner, Martin; et al

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dc.contributor.authorKalodner, Harry-
dc.contributor.authorMöser, Malte-
dc.contributor.authorLee, Kevin-
dc.contributor.authorGoldfeder, Steven-
dc.contributor.authorPlattner, Martin-
dc.contributor.authorChator, Alishah-
dc.contributor.authorNarayanan, Arvind-
dc.identifier.citationKalodner, Harry, Malte Möser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, and Arvind Narayanan. "BlockSci: Design and applications of a blockchain analysis platform." In 29th USENIX Security Symposium (2020): pp. 2721-2738.en_US
dc.description.abstractAnalysis 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.en_US
dc.format.extent2721 - 2738en_US
dc.relation.ispartof29th USENIX Security Symposiumen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleBlockSci: Design and applications of a blockchain analysis platformen_US
dc.typeConference Articleen_US

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