Methods and systems of dynamically generating and using device-specific and device-state-specific classifier models for the efficient classification of mobile device behaviors

作者: Vinay Sridhara , Rajarshi Gupta , Kassem Fawaz

DOI:

关键词: Leverage (statistics)Classifier (UML)ServerState specificSpectrum analyzerOverall performanceFeature setComputer scienceComputer hardwareMobile device

摘要: The various aspects provide a mobile device and methods implemented on the for modifying behavior models to account device-specific or device-state-specific features. In aspects, analyzer module may leverage full feature set of (i.e. large classifier model) received from network server create lean use in monitoring malicious device, dynamically modify these include features specific and/or device's current configuration. Thus, enhance overall security particular by taking its configuration into improve performance only that are relevant device.

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