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    • 3. 发明申请
    • System and Method for Crowd-Sourcing Mobile Messaging Spam Detection and Defense
    • 人群采购移动消息垃圾邮件检测和防御的系统和方法
    • US20150148006A1
    • 2015-05-28
    • US14089167
    • 2013-11-25
    • AT&T Intellectual Property I, L.P.
    • Ann E. SkudlarkJeffrey ErmanYu JinAbhinav SrivastavaLien K. Tran
    • H04W4/12H04W4/00H04W12/08
    • H04W4/12H04L51/12H04W4/50
    • A crowd-sourced mobile messaging spam detection and defense system includes an application running on a mobile device. The application uses an unwanted message detection algorithm to analyze and classify messages as potential unwanted messages. The potential unwanted messages are presented to a user for confirmation that the messages are unwanted messages. In response to confirmation, the mobile device transmits a notification to a virtual machine associated with the user. The virtual machine uses the notification to update the unwanted message detection algorithm which may then be transmitted to the mobile device. The virtual machine may also transmit the notification to a global virtual machine. The global virtual machine may use the notification to update a set of classification rules maintained by the global virtual machine and transmit the set of classification rules as necessary to the multiple virtual machines for use in updating the unwanted message detection algorithm.
    • 来自人群的移动消息垃圾邮件检测和防御系统包括在移动设备上运行的应用程序。 应用程序使用不需要的消息检测算法来将消息分析和分类为潜在的不需要的消息。 将潜在的不需要的消息呈现给用户以确认消息是不需要的消息。 响应于确认,移动设备向与用户相关联的虚拟机发送通知。 虚拟机使用通知来更新不需要的消息检测算法,然后将其发送到移动设备。 虚拟机还可以将通知发送到全局虚拟机。 全局虚拟机可以使用通知来更新由全局虚拟机维护的一组分类规则,并根据需要将多个分类规则集合发送给多个虚拟机以用于更新不需要的消息检测算法。
    • 10. 发明授权
    • System and method for crowd-sourcing mobile messaging spam detection and defense
    • 用于人群来源的移动消息垃圾邮件检测和防御的系统和方法
    • US09584989B2
    • 2017-02-28
    • US14089167
    • 2013-11-25
    • AT&T Intellectual Property I, L.P.
    • Ann E. SkudlarkJeffrey ErmanYu JinAbhinav SrivastavaLien K. Tran
    • H04M1/66H04W4/12H04W4/00H04L12/58
    • H04W4/12H04L51/12H04W4/50
    • A crowd-sourced mobile messaging spam detection and defense system includes an application running on a mobile device. The application uses an unwanted message detection algorithm to analyze and classify messages as potential unwanted messages. The potential unwanted messages are presented to a user for confirmation that the messages are unwanted messages. In response to confirmation, the mobile device transmits a notification to a virtual machine associated with the user. The virtual machine uses the notification to update the unwanted message detection algorithm which may then be transmitted to the mobile device. The virtual machine may also transmit the notification to a global virtual machine. The global virtual machine may use the notification to update a set of classification rules maintained by the global virtual machine and transmit the set of classification rules as necessary to the multiple virtual machines for use in updating the unwanted message detection algorithm.
    • 来自人群的移动消息垃圾邮件检测和防御系统包括在移动设备上运行的应用程序。 应用程序使用不需要的消息检测算法来将消息分析和分类为潜在的不需要的消息。 将潜在的不需要的消息呈现给用户以确认消息是不需要的消息。 响应于确认,移动设备向与用户相关联的虚拟机发送通知。 虚拟机使用通知来更新不需要的消息检测算法,然后将其发送到移动设备。 虚拟机还可以将通知发送到全局虚拟机。 全局虚拟机可以使用通知来更新由全局虚拟机维护的一组分类规则,并根据需要将多个分类规则集合发送给多个虚拟机以用于更新不需要的消息检测算法。