Characterizing Entities in the Bitcoin Blockchain
October 29, 2018 ยท Declared Dead ยท ๐ 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
"No code URL or promise found in abstract"
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Authors
Marc Jourdan, Sebastien Blandin, Laura Wynter, Pralhad Deshpande
arXiv ID
1810.11956
Category
cs.CR: Cryptography & Security
Cross-listed
cs.LG
Citations
92
Venue
2018 IEEE International Conference on Data Mining Workshops (ICDMW)
Last Checked
3 months ago
Abstract
Bitcoin has created a new exchange paradigm within which financial transactions can be trusted without an intermediary. This premise of a free decentralized transactional network however requires, in its current implementation, unrestricted access to the ledger for peer-based transaction verification. A number of studies have shown that, in this pseudonymous context, identities can be leaked based on transaction features or off-network information. In this work, we analyze the information revealed by the pattern of transactions in the neighborhood of a given entity transaction. By definition, these features which pertain to an extended network are not directly controllable by the entity, but might enable leakage of information about transacting entities. We define a number of new features relevant to entity characterization on the Bitcoin Blockchain and study their efficacy in practice. We show that even a weak attacker with shallow data mining knowledge is able to leverage these features to characterize the entity properties.
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