System and Method for Cloud Based IP Mobile Messaging Spam Detection and Defense
    1.
    发明申请
    System and Method for Cloud Based IP Mobile Messaging Spam Detection and Defense 有权
    基于云的IP移动消息垃圾邮件检测和防御的系统和方法

    公开(公告)号:US20160142352A1

    公开(公告)日:2016-05-19

    申请号:US14543364

    申请日:2014-11-17

    Abstract: A cloud based mobile internet protocol messaging spam defense. Short message service (SMS) messages are analyzed by a cloud based virtual machine to determine if should be considered potentially unwanted messages (e.g., spam). The cloud based virtual machine uses a user specific algorithm for determining if a message should be considered to be a potentially unwanted message. Messages that are determined to be potentially unwanted messages trigger a notification to be sent to a user device associated with the virtual machine. The notification requests confirmation from the user that the potentially unwanted message is an unwanted message. The user's response to a request for confirmation is then used to update an unwanted message database associated with the user and the user device.

    Abstract translation: 基于云的移动互联网协议消息垃圾邮件防御。 短消息服务(SMS)消息由基于云的虚拟机分析,以确定是否应该被认为是潜在的不需要的消息(例如,垃圾邮件)。 基于云的虚拟机使用用户特定的算法来确定消息是否应被视为潜在的不需要的消息。 被确定为可能不需要的消息的消息触发将要发送到与虚拟机相关联的用户设备的通知。 该通知请求用户确认潜在的不需要的消息是不需要的消息。 然后用户对确认请求的响应用于更新与用户和用户设备相关联的不需要的消息数据库。

    System and Method for Crowd-Sourcing Mobile Messaging Spam Detection and Defense
    2.
    发明申请
    System and Method for Crowd-Sourcing Mobile Messaging Spam Detection and Defense 有权
    人群采购移动消息垃圾邮件检测和防御的系统和方法

    公开(公告)号:US20150148006A1

    公开(公告)日:2015-05-28

    申请号:US14089167

    申请日:2013-11-25

    CPC classification number: H04W4/12 H04L51/12 H04W4/50

    Abstract: 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.

    Abstract translation: 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。

    System and Method for Fast and Accurate Detection of SMS Spam Numbers Via Monitoring Grey Phone Space
    3.
    发明申请
    System and Method for Fast and Accurate Detection of SMS Spam Numbers Via Monitoring Grey Phone Space 有权
    通过监控灰色手机空间快速准确地检测短信垃圾邮件数量的系统和方法

    公开(公告)号:US20150319586A1

    公开(公告)日:2015-11-05

    申请号:US14268025

    申请日:2014-05-02

    Abstract: A method and system for identifying short message service (SMS) spammers identifies senders as spammers by determining that the senders are sending SMS messages to devices included in a grey phone space. Devices in the grey phone space are identified using various methods including an analysis of call detail records. A grey ratio for a sender is determined as a ratio of messages sent to grey phone numbers by the sender to messages sent to all phone numbers by the sender. A sender is identified based on a difference between the grey ratio for the sender and a second grey ratio being above a threshold.

    Abstract translation: 用于识别短消息服务(SMS)垃圾邮件发送者的方法和系统通过确定发送者向包括在灰色电话空间中的设备发送SMS消息来将发送者识别为垃圾邮件发送者。 使用各种方法识别灰色电话空间中的设备,包括呼叫详细记录的分析。 发送方的灰度比由发送方发送到灰色电话号码的消息的比率确定为由发送方发送到所有电话号码的消息的比率。 基于发送者的灰度比和高于阈值的第二灰度比之间的差异来识别发送者。

    Cloud-based spam detection
    4.
    发明授权

    公开(公告)号:US11038826B2

    公开(公告)日:2021-06-15

    申请号:US16901056

    申请日:2020-06-15

    Abstract: A cloud based mobile internet protocol messaging spam defense. Short message service (SMS) messages are analyzed by a cloud based virtual machine to determine if should be considered potentially unwanted messages (e.g., spam). The cloud based virtual machine uses a user specific algorithm for determining if a message should be considered to be a potentially unwanted message. Messages that are determined to be potentially unwanted messages trigger a notification to be sent to a user device associated with the virtual machine. The notification requests confirmation from the user that the potentially unwanted message is an unwanted message. The user's response to a request for confirmation is then used to update an unwanted message database associated with the user and the user device.

    System and method for crowd-sourcing mobile messaging spam detection and defense
    5.
    发明授权
    System and method for crowd-sourcing mobile messaging spam detection and defense 有权
    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

    公开(公告)号:US09584989B2

    公开(公告)日:2017-02-28

    申请号:US14089167

    申请日:2013-11-25

    CPC classification number: H04W4/12 H04L51/12 H04W4/50

    Abstract: 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.

    Abstract translation: 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。

    System and method for fast and accurate detection of SMS spam numbers via monitoring grey phone space
    6.
    发明授权
    System and method for fast and accurate detection of SMS spam numbers via monitoring grey phone space 有权
    通过监控灰色手机空间快速准确地检测短信垃圾邮件数量的系统和方法

    公开(公告)号:US09357362B2

    公开(公告)日:2016-05-31

    申请号:US14268025

    申请日:2014-05-02

    Abstract: A method and system for identifying short message service (SMS) spammers identifies senders as spammers by determining that the senders are sending SMS messages to devices included in a grey phone space. Devices in the grey phone space are identified using various methods including an analysis of call detail records. A grey ratio for a sender is determined as a ratio of messages sent to grey phone numbers by the sender to messages sent to all phone numbers by the sender. A sender is identified based on a difference between the grey ratio for the sender and a second grey ratio being above a threshold.

    Abstract translation: 用于识别短消息服务(SMS)垃圾邮件发送者的方法和系统通过确定发送者向包括在灰色电话空间中的设备发送SMS消息来将发送者识别为垃圾邮件发送者。 使用各种方法识别灰色电话空间中的设备,包括呼叫详细记录的分析。 发送方的灰度比由发送方发送到灰色电话号码的消息的比率确定为由发送方发送到所有电话号码的消息的比率。 基于发送者的灰度比和高于阈值的第二灰度比之间的差异来识别发送者。

    Cloud-based spam detection
    7.
    发明授权

    公开(公告)号:US11539645B2

    公开(公告)日:2022-12-27

    申请号:US17320271

    申请日:2021-05-14

    Abstract: A cloud based mobile internet protocol messaging spam defense. Short message service (SMS) messages are analyzed by a cloud based virtual machine to determine if should be considered potentially unwanted messages (e.g., spam). The cloud based virtual machine uses a user specific algorithm for determining if a message should be considered to be a potentially unwanted message. Messages that are determined to be potentially unwanted messages trigger a notification to be sent to a user device associated with the virtual machine. The notification requests confirmation from the user that the potentially unwanted message is an unwanted message. The user's response to a request for confirmation is then used to update an unwanted message database associated with the user and the user device.

    Cloud-Based Spam Detection
    8.
    发明申请

    公开(公告)号:US20200314047A1

    公开(公告)日:2020-10-01

    申请号:US16901056

    申请日:2020-06-15

    Abstract: A cloud based mobile internet protocol messaging spam defense. Short message service (SMS) messages are analyzed by a cloud based virtual machine to determine if should be considered potentially unwanted messages (e.g., spam). The cloud based virtual machine uses a user specific algorithm for determining if a message should be considered to be a potentially unwanted message. Messages that are determined to be potentially unwanted messages trigger a notification to be sent to a user device associated with the virtual machine. The notification requests confirmation from the user that the potentially unwanted message is an unwanted message. The user's response to a request for confirmation is then used to update an unwanted message database associated with the user and the user device.

    Cloud-Based Spam Detection
    9.
    发明申请

    公开(公告)号:US20180191656A1

    公开(公告)日:2018-07-05

    申请号:US15910289

    申请日:2018-03-02

    Abstract: A cloud based mobile internet protocol messaging spam defense. Short message service (SMS) messages are analyzed by a cloud based virtual machine to determine if should be considered potentially unwanted messages (e.g., spam). The cloud based virtual machine uses a user specific algorithm for determining if a message should be considered to be a potentially unwanted message. Messages that are determined to be potentially unwanted messages trigger a notification to be sent to a user device associated with the virtual machine. The notification requests confirmation from the user that the potentially unwanted message is an unwanted message. The user's response to a request for confirmation is then used to update an unwanted message database associated with the user and the user device.

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