首页> 外国专利> Systems and methods for classifying unknown files/spam based on a user actions, a file's prevalence within a user community, and a predetermined prevalence threshold

Systems and methods for classifying unknown files/spam based on a user actions, a file's prevalence within a user community, and a predetermined prevalence threshold

机译:用于根据用户操作,用户社区中文件的流行程度以及预定的流行度阈值对未知文件/垃圾邮件进行分类的系统和方法

摘要

A computer-implemented, server-side method for classifying unknown files based on user actions may include (1) identifying at least one file whose trustworthiness is unknown, (2) identifying a report received from at least one client device that identifies at least one action taken by a user within a user community when informed by security software on the client device that the trustworthiness of the file is unknown, (3) determining that the action taken by the user indicates that the user believes the file is trustworthy, (4) classifying the file as trustworthy based at least in part on the action taken by the user, and then (5) providing the file's classification to at least one computing device in order to enable the computing device to evaluate the trustworthiness of the file. Corresponding systems, encoded computer-readable media, and client-side methods are also disclosed.
机译:一种用于基于用户动作对未知文件进行分类的计算机实现的服务器端方法,可以包括:(1)识别至少一个其信任度未知的文件;(2)识别从至少一个客户端设备接收的报告,该报告识别至少一个用户社区中用户通过客户端设备上的安全软件通知文件的可信度未知时采取的操作;(3)确定用户采取的操作表明用户认为文件可信;(4) )至少部分地基于用户采取的操作将文件分类为可信任,然后(5)将文件的分类提供给至少一个计算设备,以使计算设备能够评估文件的可信任度。还公开了相应的系统,编码的计算机可读介质和客户端方法。

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