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Usage signatures analysis an alternative method for preventing fraud in E-Commerce applications

机译:使用签名分析是防止电子商务应用程序欺诈的另一种方法

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摘要

From small local businesses to large multinationals, we can find a lot of initiatives in order to put their business online. E-Commerce is rapidly expanding worldwide with the emergence of new web shops, business to business services, or payment services, just to name a few. E-Commerce companies have been continuously improving their business incomes and extending their influence in the market. However, this proliferation of online business raised a very old phenomenon: fraud. Consequently, E-Commerce companies lose significant amounts of money every year due to a large diversity of fraudulent cases. This phenomenon is quite difficult to manage and handle, requiring significant efforts, both human and financial, in its identification and treatment. In this paper we present and discuss the use of signatures on the detection of potential fraud situations in an E-Commerce Web application, showing the way signatures are processed and analysed, as well as they can contribute to establish user behaviour deviation and consequently detect potential fraud situations in useful time.
机译:从本地小型企业到大型跨国公司,我们可以找到很多计划来使他们的业务在线。随着新的网上商店,企业对企业服务或支付服务的出现,电子商务正在全球范围内迅速扩展,仅举几例。电子商务公司一直在不断提高其业务收入并扩大其在市场中的影响力。但是,在线业务的激增引发了一个非常古老的现象:欺诈。因此,由于欺诈案件的多样性,电子商务公司每年损失大量资金。这种现象非常难以管理和处理,需要在识别和治疗上付出大量人力和财力。在本文中,我们介绍并讨论了在电子商务Web应用程序中检测潜在欺诈情况时使用签名的方法,展示了签名的处理和分析方式,以及它们可以有助于建立用户行为偏差并从而检测出潜在的行为。有用时间内的欺诈情况。

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