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Research On User Identification Method Of Public Chain Based On Transaction Network

Posted on:2022-11-11Degree:MasterType:Thesis
Country:ChinaCandidate:S J ZhaoFull Text:PDF
GTID:2518306743973949Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
In these years,as an emerging technology in recent years,blockchain technology has attracted attention due to its decentralization and non-tamperable data characteristics,and has been widely used in financial,medical and other fields.Among them,Bitcoin is a representative of the public chain,and the transaction data on it has also increased year by year in recent years.Bitcoin is a currency transaction system based on the P2 P network.There is no concept of an account in the Bitcoin system.The user conducts transactions through the address generated by the Bitcoin wallet,and the address is not associated with the user's real identity information.This feature of anonymity itself can be used in illegal transactions and cause harm.Therefore,how to correctly identify the attribution of anonymous addresses and how to analyze user transaction behaviors and connections are the main problems faced by the public chain.In response to the above problems,this paper proposes a public chain user identification method based on the transaction network.By improving the existing problems of the Bitcoin address clustering algorithm,a user identification algorithm is designed to realize the identification of transaction users.Efficient identification.On this basis,we analyzed the results of the method in a visual way,and analyzed the relationship between users in the transaction network.The public chain user identification method designed in this paper mainly includes data collection and data preprocessing,dictionary tree construction and user identification algorithm.We selected the most representative application of Bitcoin in the public chain to conduct experiments,conduct data collection,preprocessing,and user identification on transaction data in Bitcoin,and visualized the results after identification.The experimental results verify the correctness and effectiveness of the user identification method in this paper,provide a basis for the supervision and analysis of public chain transactions,and have certain significance and value.
Keywords/Search Tags:block chain, bitcoin, user identification, address clustering, data analysis
PDF Full Text Request
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