|Author||McCoy, Damon ♦ Meiklejohn, Sarah ♦ Voelker, Geoffrey M. ♦ Savage, Stefan ♦ Pomarole, Marjori ♦ Levchenko, Kirill ♦ Jordan, Grant|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Abstract||Bitcoin is a purely online virtual currency, unbacked by either physical commodities or sovereign obligation; instead, it relies on a combination of cryptographic protection and a peer-to-peer protocol for witnessing settlements. Consequently, Bitcoin has the unintuitive property that while the ownership of money is implicitly anonymous, its flow is globally visible. In this paper we explore this unique characteristic further, using heuristic clustering to group Bitcoin wallets based on evidence of shared authority, and then using re-identification attacks (i.e., empirical purchasing of goods and services) to classify the operators of those clusters. From this analysis, we consider the challenges for those seeking to use Bitcoin for criminal or fraudulent purposes at scale.|
|Description||Affiliation: ICSI, Berkeley, CA (McCoy, Damon) || Facebook, London, U.K. (Pomarole, Marjori) || UC San Diego, La Jolla, CA (Jordan, Grant; Levchenko, Kirill; Voelker, Geoffrey M.; Savage, Stefan) || University College London, London, U.K. (Meiklejohn, Sarah)|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Communications of the ACM (CACM)|
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