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Blockchain explorer: An analytical process and investigation environment for bitcoin

机译:区块链浏览器:比特币的分析过程和调查环境

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Bitcoin is the most famous cryptocurrency currently operating with a total marketcap of almost 7 billion USD. This innovation stands strong on the feature of pseudo anonymity and strives on its innovative de-centralized architecture based on the Blockchain. The Blockchain is a distributed ledger that keeps a public record of all the transactions processed on the bitcoin protocol network in full transparency without revealing the identity of the sender and the receiver. Over the course of 2016, cryptocurrencies have shown some instances of abuse by criminals in their activities due to its interesting nature. Darknet marketplaces are increasing the volume of their businesses in illicit and illegal trades but also cryptocurrencies have been used in cases of extortion, ransom and as part of sophisticated malware modus operandi. We tackle these challenges by developing an analytical capability that allows us to map relationships on the blockchain and filter crime instances in order to investigate the abuse in law enforcement local environment. We propose a practical bitcoin analytical process and an analyzing system that stands alone and manages all data on the blockchain in real-time with tracing and visualizing techniques rendering transactions decipherable and useful for law enforcement investigation and training. Our system adopts combination of analyzing methods that provides statistics of address, graphical transaction relation, discovery of paths and clustering of already known addresses. We evaluated our system in the three criminal cases includes marketplace, ransomware and DDoS extortion. These are practical training in law enforcement, then we determined whether our system could help investigation process and training.
机译:比特币是目前最有名的加密货币,总市值近70亿美元。这项创新在伪匿名性方面具有强大优势,并致力于基于区块链的创新去中心化架构。区块链是一种分布式账本,它以完全透明的方式公开记录在比特币协议网络上处理的所有交易,而不会透露发送者和接收者的身份。在2016年期间,由于其有趣的性质,加密货币在其活动中显示出一些犯罪分子滥用的实例。暗网市场正在增加其在非法和非法交易中的业务量,但加密货币也被用于勒索,勒索和复杂的恶意软件作案手段的一部分。我们通过开发分析功能来应对这些挑战,该分析功能使我们能够在区块链上映射关系并过滤犯罪实例,以调查执法当地环境中的滥用情况。我们提出了一个实用的比特币分析过程和一个独立的分析系统,并通过跟踪和可视化技术实时管理区块链上的所有数据,从而使交易可辨认并对于执法调查和培训有用。我们的系统采用多种分析方法相结合,可提供地址统计信息,图形事务关系,路径发现以及已知地址的聚类。我们在市场,勒索软件和DDoS勒索这三起刑事案件中对我们的系统进行了评估。这些是执法方面的实践培训,然后我们确定了我们的系统是否可以帮助调查过程和培训。

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