A system and method identifies mobile applications that can have an adverse effect on a mobile device or mobile network. In an implementation, a server monitors behavioral data relating to a mobile application and applies a model to determine if the application has an adverse effect or has the potential to cause an adverse effect on a mobile device or a network the mobile device may connect to. A mobile device may monitor behavioral data, apply a model to the data, and transmit a disposition to the server. The server may aggregate behavioral data or disposition information from multiple devices. The server may transmit or make available the disposition information to a subscriber through a web interface, API, email, or other mechanism. After identifying that an application may have an adverse effect, the server may enact corrective actions, such as generating device or network configuration data.

System and method for adverse mobile application identification

Embodiments are directed to a system and method for authenticating a user of a client computer making a request to a server computer providing access to a network resource through an authentication platform that issues a challenge in response to the request requiring authentication of the user identity through a reply from the client computer, determining one or more items of context information related to at least one of the user, the request, and the client computer, and determining a disposition of the request based on the reply and the one or more items of context information. The reply includes a user password and may be provided by an authorizing client device coupled to the client computer over a wireless communications link.

Multi-factor authentication and comprehensive login system for client-server networks

The present invention is a system and method for detecting and preventing attacks and malware on mobile devices such as a cell phones, smartphones or PDAs, which are significantly limited in power consumption, computational power, and memory. The invention enables mobile devices to analyze network data, executable data files, and non-executable data files in order to detect and prevent both known and unknown attacks and malware over vectors that are not typically protected by desktop and server security systems. Security analysis is performed by a combination of “known good,” “known bad,” and decision components. The invention identifies known good executables and/or known characteristics of network data or data files that must be present in order for the data to be considered good. Furthermore, known good and known bad identifier databases may be stored on a server which may be queried by a mobile device.

System and method for attack and malware prevention

Application programs for mobile communication devices are stored in a data store. The applications may be collected from any number of different sources such as through an application programming interface (API), from web crawling, from users, or combinations of these. The applications are analyzed and the analysis results reported. The applications may be “continuously” analyzed so that any changes in assessments can be reported. If an application for which an analysis is sought is not in the data store, information about a different, but related application may be provided.

System and method for a scanning api

Data is collected from a set of devices. The data is associated with the devices, mobile application programs (apps), web applications, users, or combinations of these. A norm is established using the collected data. The norm is compared with data collected from a particular device. If there is a deviation outside of a threshold deviation between the norm and the data collected from the particular device, a response is initiated.

Distributed monitoring, evaluation, and response for multiple devices

Systems and methods for cache state management to preserve user experience with a mobile application on a mobile device while conserving resources in a wireless network are disclosed. In one embodiment, the method can include, for example, storing content from a content server as cached elements in a local cache on the mobile device and in response to receiving polling requests to contact the content server, retrieving the cached elements from the local cache to respond to the polling requests made at the mobile device, and/or using state information associated with the cached elements to provide the cached elements as responses to the polling requests such that user experience is preserved.

Detecting and preserving state for satisfying application requests in a distributed proxy and cache system

Cache state management on a mobile device to preserve user experience

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Detecting and preserving state for satisfying application requests in a distributed proxy and cache system

Cache state management on a mobile device to preserve user experience