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    • 6. 发明授权
    • 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
    • 至少部分地基于用户在被告知文件的可信赖性是未知的行为之后对用户社区中的普及率进行分类的文件的分类的系统和方法
    • US08572007B1
    • 2013-10-29
    • US12916267
    • 2010-10-29
    • Pratyusa ManadhataKent GriffinZulfikar Ramzan
    • Pratyusa ManadhataKent GriffinZulfikar Ramzan
    • G06F11/00
    • G06F21/56G06F21/567G06F2221/2115
    • 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.
    • 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)识别至少一个可信赖度未知的文件,(2)识别从至少一个客户端设备接收的报告,其识别至少一个 (3)确定用户所采取的动作表示用户认为该文件是可信赖的,(4)通过用户社区中的用户在客户端设备上的安全软件通知文件的可信赖性未知时, )至少部分地基于所述用户采取的行动将所述文件分类为可信赖,然后(5)将所述文件的分类提供给至少一个计算设备,以使所述计算设备能够评估所述文件的可信赖性。 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。