Abstract: This disclosure is directed to a system and method for preventing malware, spyware and other undesirable applications from affecting mobile communication devices (e.g., smartphones, netbooks, and tablets). A mobile communication device uses a server to assist in identifying and removing undesirable applications. When scanning an application, a device transmits information about the application to a server for analysis. The server receives the information, produces a characterization assessment and can also provide a characterization re-assessment for the application, or data object, and transmits the assessment to the device. By performing analysis on a server, the invention allows a device to reduce the battery and performance cost of protecting against undesirable applications. The servers transmits notifications to devices that have installed applications that are discovered to be undesirable.

Abstract: Pushing data to mobile devices can be problematic because mobile platforms may support a number push services, each of which have different cost and reliability characteristics. The problem of being able to push data to multiple different types of mobile devices from a single server is solved by a push service aggregator supporting multiple push services. Upon receiving a push request, one or more push services are selected for pushing data to a client. The selection may be based on a delivery profile included with the push request, information about the client, past performance of the push services, current status of the push services, or combinations of these. The status of the push may be tracked and monitored so as to retry in the case of non-delivery.

Abstract: This disclosure is directed to a system and method for preventing malware, spyware and other undesirable applications from affecting mobile communication devices (e.g., smartphones, netbooks, and tablets). A mobile communication device uses a server to assist in identifying and removing undesirable applications. When scanning an application, a device transmits information about the application to a server for analysis. The server receives the information, produces an assessment for the application, and transmits the assessment to the device. By performing analysis on a server, the invention allows a device to reduce the battery and performance cost of protecting against undesirable applications. The servers transmits notifications to devices that have installed applications that are discovered to be undesirable. The server receives data about applications from many devices, using the combined data to minimize false positives and provide comprehensive protection against known and unknown threats.

Abstract: To prevent malware, spyware and other undesirable applications from affecting mobile communication devices (e.g., smartphones, netbooks, and tablets), a device uses a server to assist in identifying and removing undesirable applications. When scanning an application, a device transmits information about the application to a server for analysis. The server receives the information, produces a categorization assessment and can provide a categorization re-assessment, and transmits the assessment to the device. By performing analysis on a server, a device can reduce its battery and performance cost of protecting against undesirable applications. The server transmits notifications to devices that have installed applications that are discovered to be undesirable. The server receives data about applications from many devices, using the combined data to minimize false positives and provide comprehensive protection against known and unknown threats.

Abstract: A system and method for preventing malware, spyware and other undesirable applications from affecting mobile communication devices uses a server to assist in identifying and removing undesirable applications. When scanning an application, a device transmits information about the application to a server for analysis. The server receives the information, produces a characterization assessment and can also provide a characterization re-assessment for the application, or data object, and transmits the assessment to the device. By performing analysis on a server, the invention allows a device to reduce the battery and performance cost of protecting against undesirable applications. The servers transmit notifications to devices that have installed applications that are discovered to be undesirable. The server can accumulate this data and then perform a characterization re-assessment of a data object it has previously assessed to provide an assessment based upon one of trust, distribution and ratings information.

Abstract: This disclosure is directed to a system and method for preventing malware, spyware and other undesirable applications from affecting mobile communication devices (e.g., smartphones, netbooks, and tablets). A mobile communication device uses a server to assist in identifying and removing undesirable applications. When scanning an application, a device transmits information about the application to a server for analysis. The server receives the information, produces an assessment for the application, and transmits the assessment to the device. By performing analysis on a server, the invention allows a device to reduce the battery and performance cost of protecting against undesirable applications. The servers transmits notifications to devices that have installed applications that are discovered to be undesirable. The server receives data about applications from many devices, using the combined data to minimize false positives and provide comprehensive protection against known and unknown threats.

Abstract: The present invention computer method and apparatus determines music similarity by generating a K-means (instead of Gaussian) cluster signature and a beat signature for each piece of music. The beat of the music is included in the subsequent distance measurement.

Abstract: The present invention computer method and apparatus determines music similarity by generating a K-means (instead of Gaussian) cluster signature and a beat signature for each piece of music. The beat of the music is included in the subsequent distance measurement.