AUTOMATED BEHAVIORAL AND STATIC ANALYSIS USING AN INSTRUMENTED SANDBOX AND MACHINE LEARNING CLASSIFICATION FOR MOBILE SECURITY

摘要

The present system includes a computer-networked system that allows mobile subscribers, and others, to submit mobile applications to be analyzed for anomalous and malicious behavior using data acquired during the execution of the application within a highly instrumented and controlled environment for which the analysis relies on per-execution as well as comparative aggregate data across many such executions from one or more subscribers.