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|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.|
|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.|
|Pages:||2721 - 2738|
|Type of Material:||Conference Article|
|Journal/Proceeding Title:||29th USENIX Security Symposium|
|Version:||Final published version. This is an open access article.|
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