典型文献
Analyzing and De-Anonymizing Bitcoin Networks:An IP Matching Method with Clustering and Heuristics
文献摘要：
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 ex-tent,deviated from its currency attribute as a trad-ing medium but instead turned into an object for fi-nancial investment and operations.In this paper,the power-law distribution that the Bitcoin network obeys is given with mathematical proof,while traditional de-anonymous methods such as clustering fail to satisfy it.Therefore,considering the profit-oriented charac-teristics of Bitcoin traders in such occasion,we put forward a de-anonymous heuristic approach that rec-ognizes and analyzes the behavioral patterns of finan-cial High-Frequency Transactions(HFT),with real-time exchange rate of Bitcoin involved.With heuris-tic approach used for de-anonymity,algorithm that deals with the adjacency matrix and transition proba-bility matrix are also put forward,which then makes it possible to apply clustering to the IP matching method.Basing on the heuristic approach and addi-tional algorithm for clustering,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 be-havioral pattern between IP and transaction records are shown,which indicates the superiority of IP matching method.
文献关键词：
中图分类号：
作者姓名：
Teng Long;Jiasheng Xu;Luoyi Fu;Xinbing Wang
作者机构：
School of Information Engineering,China University of Geosciences,Beijing 100083,China;Department of Electronic Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Department of Computer Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
文献出处：
引用格式：
[1]Teng Long;Jiasheng Xu;Luoyi Fu;Xinbing Wang-.Analyzing and De-Anonymizing Bitcoin Networks:An IP Matching Method with Clustering and Heuristics)[J].中国通信（英文版）,2022(06):263-278
A类：
Anonymizing,Heuristics,Nakamoto,trad,nancial,ognizes,finan,heuris,havioral
B类：
Analyzing,De,Bitcoin,Networks,Matching,Method,Clustering,anonymity,blockchain,have,always,been,hot,topic,related,research,Since,was,created,by,has,some,tent,deviated,from,its,currency,attribute,medium,instead,turned,into,object,investment,operations,In,this,paper,power,law,distribution,that,network,obeys,given,mathematical,proof,while,traditional,anonymous,methods,such,clustering,fail,satisfy,Therefore,considering,profit,oriented,charac,teristics,traders,occasion,put,forward,heuristic,approach,analyzes,behavioral,patterns,High,Frequency,Transactions,HFT,real,exchange,rate,involved,With,used,algorithm,deals,adjacency,matrix,transition,proba,bility,are,also,which,then,makes,possible,apply,matching,Basing,addi,finally,established,matches,activity,information,transaction,records,Experiments,applied,actual,data,It,turns,out,similar,between,shown,indicates,superiority
AB值：
0.532038
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