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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Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kalodner, Harry | - |
dc.contributor.author | Möser, Malte | - |
dc.contributor.author | Lee, Kevin | - |
dc.contributor.author | Goldfeder, Steven | - |
dc.contributor.author | Plattner, Martin | - |
dc.contributor.author | Chator, Alishah | - |
dc.contributor.author | Narayanan, Arvind | - |
dc.date.accessioned | 2021-10-08T19:51:11Z | - |
dc.date.available | 2021-10-08T19:51:11Z | - |
dc.date.issued | 2020 | en_US |
dc.identifier.citation | Kalodner, 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.identifier.uri | https://www.usenix.org/conference/usenixsecurity20/presentation/kalodner | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/pr1bc40 | - |
dc.description.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. | en_US |
dc.format.extent | 2721 - 2738 | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartof | 29th USENIX Security Symposium | en_US |
dc.rights | Final published version. This is an open access article. | en_US |
dc.title | BlockSci: Design and applications of a blockchain analysis platform | en_US |
dc.type | Conference Article | en_US |
pu.type.symplectic | http://www.symplectic.co.uk/publications/atom-terms/1.0/conference-proceeding | en_US |
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File | Description | Size | Format | |
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Blocksci.pdf | 767.32 kB | Adobe PDF | View/Download |
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