A Malicious Mobile Application Detection Method for Network Encrypted Traffic
A mobile application and network traffic technology, applied in transmission systems, electrical components, etc., can solve the problems of inability to determine the encrypted network flow of mobile applications, inability to distinguish malicious mobile application attack traffic, etc., to facilitate deployment and use, reduce operating load, The effect of ensuring data privacy
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[0029] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0030] The present invention designs a kind of malicious mobile application detection method facing network encrypted flow, in practical application, specifically comprises the following steps:
[0031] Step A. Using a classification method based on machine learning to identify and obtain the mobile application corresponding to the encrypted network traffic to be judged as the mobile application object to be judged, wherein the classification method of machine learning learns the traffic characteristic models of different mobile applications in advance; and then The learned machine learning classification method is used to identify the encrypted network traffic to be judged, and obtain the mobile application corresponding to the encrypted network traffic to be judged as the mobile application object to be judged, and then...
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