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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70488
標題: | 基於比特幣的用戶隱私與交易圖研究 Evaluating User Privacy And Transaction Graph based on Bitcoin |
作者: | Rui Lu 盧睿 |
指導教授: | 廖世偉 |
關鍵字: | 比特幣,交易,社區發現算法,聚類,匿名性, bitcoin,transaction,community detection,cluster,Anonymous, |
出版年 : | 2018 |
學位: | 碩士 |
摘要: | 比特幣作為新型的數字貨幣,建立了一個全球共享的分布式、去中心化、去信任的賬本系統,並得到迅猛發展。比特幣交易具有匿名性強、難以監管的特性,再加上混幣技術的不斷發展,在一定程度上為一些違法的行為和黑市交易提供了便利。本文綜合多個交易特徵,提出了一種基於啟發式的聚類方法,並採用一種社區發現算法,能夠對匿名比特幣地址進行社區分群,從而發現被同一用戶控制的地址群,有助於分析用戶的交易特徵,推測用戶的真實身份。本文設計了具體的方案,通過實驗,展示了聚類的結果。 As a new type of digital currency, Bitcoin has established a globally distributed, decentralized, trustworthy bookkeeping system that has grown rapidly. Bitcoin transactions are characterized by strong anonymity and difficulty in supervision. Coupled with the continuous development of the currency technology, it has facilitated some illegal behaviors and black market transactions to a certain extent. This paper combines multiple transaction characteristics, proposes a heuristic-based clustering method, and adopts a community detection algorithm to community grouping anonymous bitcoin addresses to discover the group of addresses controlled by the same user, which is helpful for analyzing users. The characteristics of the transaction, speculating the true identity of the user. This paper designs a specific scheme and shows the results of clustering through experiments. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70488 |
DOI: | 10.6342/NTU201803117 |
全文授權: | 有償授權 |
顯示於系所單位: | 資訊工程學系 |
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