Poster:De-anonymizing Bitcoin Networks:An IP Matching Method via Heuristic Approach
The anonymity and de-anonymity of blockchain and Bit-coin 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 at-tribute as a trading medium but instead turned into an object for financial investment and operations.In this pa-per,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.Bas-ing on the heuristic approach,finally we established the de-anonymous method that matches the activity informa-tion 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.
Bitcoin Blockchain De-anonymization
Jiaming Cui Huaying Wu Luoyi Fu Xiaoying Gan
国际会议
2019国图灵大会(ACM Turing Celebration conference-China 2019 )
成都
英文
589-590
2019-05-17（万方平台首次上网日期，不代表论文的发表时间）