An Android application network behavior classification method and system based on deep learning

Abstract

The invention provides an Android application network behavior classification method and system based on deep learning, and the method comprises the steps of firstly constructing a user-defined eventexecution sequence combination, driving an Android application to operate, and obtaining a dynamic network behavior data packet of the Android application; bicycling, preprocessing the dynamic behavior data packet of the Android application obtained in the step 1, and converting binary data transmitted in the network into a gray value so as to convert the data packet into a gray image; then constructing a convolutional neural network classification model; and finally converting the preprocessed grayscale image into a matrix vector, and inputting the matrix vector into a convolutional neural network classification model for learning to obtain a classification model of the Android application sample. According to the present invention, the Android application classification problem is converted into the image classification problem, the features are learned by using the multilayer convolutional neural network, and the accuracy is higher.

Description

technical field [0001] The invention belongs to the technical field of Android mobile terminal software security, in particular to a method and system for classifying Android application network behaviors based on deep learning. Background technique [0002] In recent years, with the continuous popularization of Android smart terminals, the number of Android mobile phone applications has also increased exponentially, providing people with various types of services. However, the growth in the number of these applications also complicates the security and management of mobile networks, making it challenging and time-consuming to keep up with the new applications that appear every day. Moreover, QoS management for applications is becoming more and more important at present. Qos is a security mechanism of the network and a network technology used to solve problems such as network delay and congestion. Qos requires service providers to use various network technologies to provide...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a deep learning-based Android application network behavior classification method to solve the problem of incomplete collection of data packets and the inability to classify encrypted data packets in existing classification methods

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