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:
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:
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:
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:
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:
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:
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:
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:
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:
Network traffic usage information for a set of registered devices is monitored, analyzed, and reported within a cellular service provider portion of a communications network. The network traffic usage information can relate to data traffic, voice traffic, and/or short message service traffic. Reporting the network traffic usage information is customizable such that parameters associated with the network traffic usage can be changed, depending on the parameters that are of current interest to an organization affiliated with the set of registered devices.