@inproceedings{1ad58f811f054be1bdbcf3e922218369,
title = "BlockSci: Design and applications of a blockchain analysis platform",
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.",
author = "Harry Kalodner and Malte M{\"o}ser and Kevin Lee and Steven Goldfeder and Martin Plattner and Alishah Chator and Arvind Narayanan",
note = "Publisher Copyright: {\textcopyright} 2020 by The USENIX Association. All Rights Reserved.; 29th USENIX Security Symposium ; Conference date: 12-08-2020 Through 14-08-2020",
year = "2020",
language = "English (US)",
series = "Proceedings of the 29th USENIX Security Symposium",
publisher = "USENIX Association",
pages = "2721--2738",
booktitle = "Proceedings of the 29th USENIX Security Symposium",
}