Paper Info
Title
De-anonymizing bitcoin networks: an IP matching method via heuristic approach: poster
Abstract
The anonymity and de-anonymity of blockchain and Bitcoin have always been a hot topic in blockchain related research. Since Bitcoin was created by Nakamoto in 2009, it has, to some extent, deviated from its currency attribute as a trading medium but instead turned into an object for financial investment and operations. In this paper, the power-law distribution that the Bitcoin network obeys is given, while traditional de-anonymous methods such as clustering fail to satisfy it. Therefore, considering the profit-oriented characteristics of Bitcoin traders in such occasion, we put forward a deanonymous heuristic approach that recognizes and analyzes the behavioral patterns of financial High-Frequency Transactions(HFT), with real-time exchange rate of Bitcoin involved. Basing on the heuristic approach, finally we established the de-anonymous method that matches the activity information of the IP with the transaction records in blockchain. Experiments on IP matching method are applied to the actual data. It turns out that similar behavioral pattern between IP and transaction records are shown, which indicates the superiority of IP matching method.
Year
DOI
Venue
2019
10.1145/3321408.3321607
Proceedings of the ACM Turing Celebration Conference - China
Keywords
Field
DocType
bitcoin, blockchain, de-anonymization
Heuristic,Computer science,Theoretical computer science
Conference
ISBN
Citations 
PageRank 
978-1-4503-7158-2
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Jiaming Cui102.37
Huaying Wu200.68
Luoyi Fu341558.53
Xiaoying Gan434448.16