数字加密货币
块链
背景(考古学)
计算机安全
计算机科学
数据库事务
分类帐
工作证明制度
网络犯罪
货币
金融交易
分布式账本
过程(计算)
互联网隐私
数据科学
业务
会计
万维网
互联网
数据库
经济
货币经济学
古生物学
生物
操作系统
作者
Thomas E. Dearden,Samantha E. Tucker
标识
DOI:10.1177/10439862231157521
摘要
Transactions on the darknet are notoriously difficult to examine. Prior criminological research has generally used web scraping and qualitative text analysis to examine illegal darknet markets. One disadvantage of this process is that individuals can lie. Fortunately for researchers, the currency used for transactions on the darknet, cryptocurrency, is designed to be tracked. In this article, we examine transactions from a former darknet marketplace, AlphaBay. Using the blockchain, we examine the interconnectedness of both legal and illegal cryptocurrencies. In addition, we provide a structured approach to quantitatively examine the Bitcoin blockchain ledger, offering both the tools and our own experiences for other researchers interested in such approaches. While cybersecurity, information technology, accounting, and other disciplines can examine the financial data itself, we believe that criminologists can provide additional benefits in pattern analysis and organizing the context and theory around the transactions. Our results show that cryptocurrency transactions are generally identifiable (90%) and involve likely illegal transactions, transactions that attempt to obfuscate other transactions, and legal transactions. We end with a discussion of newer cryptocurrencies and related technology and how they will likely shape future work.
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