TY - GEN
T1 - BlockSci
T2 - 29th USENIX Security Symposium
AU - Kalodner, Harry
AU - Möser, Malte
AU - Lee, Kevin
AU - Goldfeder, Steven
AU - Plattner, Martin
AU - Chator, Alishah
AU - Narayanan, Arvind
N1 - Publisher Copyright:
© 2020 by The USENIX Association. All Rights Reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85091936517&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091936517&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85091936517
T3 - Proceedings of the 29th USENIX Security Symposium
SP - 2721
EP - 2738
BT - Proceedings of the 29th USENIX Security Symposium
PB - USENIX Association
Y2 - 12 August 2020 through 14 August 2020
ER -