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Piercing the veil of anonymous Online Financial Transactions

机译:揭开匿名在线金融交易的面纱

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The Online Financial Transaction (OFT) services landscape has grown with the widespread commoditization of e-commerce. Though developed for legitimate commercial means, new technologies have created many ways to anonymously transfer funds over communication networks. Law enforcement agencies now face a unique and nearly insurmountable problem: cybercriminals are able to anonymously exchange financial resources and goods, hiding virtually all traces of evidence in a complex web of financial services. Consequently, OFTs pose a significant risk to law enforcement and intelligence agencies because such anonymous transactions have become difficult to monitor and provide new opportunities to the criminals who threaten our physical world. The focus of this capstone project was to increase the understanding of anonymous OFTs using a three step approach. The first step involved developing a standardized identity framework to classify levels of anonymity in online transactions. The second step was the creation of a comprehensive database of OFT services and the information each of these services collects during individual transactions. This database incorporates the Identity Elements framework and stores relationships between OFTs. This information is then used by a suite of client applications, the third step in our approach, to analyze financial transactions. Overall, the combination of an identity framework and analytic tools forms a better understanding of the potential threats posed by dynamic anonymous technologies, and is intended to grow to function as an active method used to catch and monitor criminals.
机译:随着电子商务的广泛商品化,在线金融交易(OFT)服务格局已经发展。尽管为合法的商业手段而开发,但新技术已经创造了许多方法来通过通信网络匿名转移资金。执法机构现在面临一个独特且几乎无法克服的问题:网络犯罪分子能够匿名交换金融资源和商品,几乎将所有痕迹隐藏在复杂的金融服务网络中。因此,OFT对执法和情报机构构成重大风险,因为这种匿名交易已变得难以监控,并给威胁我们自然世界的罪犯提供了新的机会。这个顶点项目的重点是使用三步法来增加对匿名OFT的理解。第一步涉及开发标准化的身份框架,以对在线交易中的匿名级别进行分类。第二步是创建一个完整的OFT服务数据库,以及每个服务在单个交易中收集的信息。该数据库并入了Identity Elements框架,并存储了OFT之间的关系。然后,这套方法的第三步便是由一组客户端应用程序使用此信息来分析财务交易。总体而言,身份框架和分析工具的结合可以更好地理解动态匿名技术带来的潜在威胁,并且旨在发展成为一种有效的方法来捕获和监视罪犯。

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