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System and method for distinguishing human swipe input sequence behavior and using a confidence value on a score to detect fraudsters

机译:用于区分人刷输入序列行为并使用分数的置信度值来检测欺诈者的系统和方法

摘要

Recording, analyzing and categorizing of user interface input via touchpad, touch screens or any device that can synthesize gestures from touch and pressure into input events. Such as, but not limited to, smart phones, touch pads and tablets. Humans may generate the input. The analysis of data may include statistical profiling of individual users as well as groups of users, the profiles can be stored in, but not limited to data containers such as files, secure storage, smart cards, databases, off device, in the cloud etc. A profile may be built from user/users behavior categorized into quantified types of behavior and/or gestures. The profile might be stored anonymized. The analysis may take place in real time or as post processing. Profiles can be compared against each other by all the types of quantified behaviors or by a select few.
机译:通过触摸板,触摸屏或可以将手势从触摸和压力合成为输入事件的任何设备来记录,分析和分类用户界面输入。例如但不限于智能手机,触摸板和平板电脑。人类可以产生输入。数据分析可以包括单个用户以及用户组的统计分析,配置文件可以存储在但不限于数据容器中,例如文件,安全存储,智能卡,数据库,设备外,云中等可以根据分类为行为和/或手势的量化类型的用户行为来建立简档。该配置文件可能以匿名方式存储。分析可以实时进行或作为后处理进行。可以通过所有类型的量化行为或仅通过少数几个将行为进行相互比较。

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