Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis

September 14, 2018 ยท Declared Dead ยท ๐Ÿ› 2018 IEEE International Conference on Data Mining Workshops (ICDMW)

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Authors Martin Harrigan, Lei Shi, Jacob Illum arXiv ID 1809.05360 Category cs.CR: Cryptography & Security Citations 15 Venue 2018 IEEE International Conference on Data Mining Workshops (ICDMW) Last Checked 3 months ago
Abstract
Airdrops are a popular method of distributing cryptocurrencies and tokens. While often considered risk-free from the point of view of recipients, their impact on privacy is easily overlooked. We examine the Clam airdrop of 2014, a forerunner to many of today's airdrops, that distributed a new cryptocurrency to every address with a non-dust balance on the Bitcoin, Litecoin and Dogecoin blockchains. Specifically, we use address clustering to try to construct the one-to-many mappings from entities to addresses on the blockchains, individually and in combination. We show that the sharing of addresses between the blockchains is a privacy risk. We identify instances where an entity has disclosed information about their address ownership on the Bitcoin, Litecoin and Dogecoin blockchains, exclusively via their activity on the Clam blockchain.
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