Android application page automatic traversal method and system0

Abstract

The invention provides an Android application page automatic traversal method and system, and the scheme comprises the steps: obtaining page information, carrying out the analysis, and obtaining an operable initial control set in a page; judging whether the current page is a new page or not, if yes, performing similarity analysis on the obtained initial control, and storing the page in a page set, and if not, loading the page from the page set; selecting a control to be operated from the control set by using probability and a random selection strategy, and executing a click or slide operation; updating the current information; searching a current optimal page according to the page weight, skipping to the optimal page, and iteratively executing the operation to realize automatic traversal of the page; through improvement in the aspect of control scale and page traversal selection, the automatic traversal efficiency is effectively improved, richer network traffic is obtained, and rich traffic support is provided for malicious application detection of a mobile platform.

Description

technical field [0001] The disclosure belongs to the technical field of data processing, and in particular relates to a method and system for automatically traversing Android application pages. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] The detection of malicious applications on mobile platforms has always been a major concern in the field of network security. According to the latest report of AV-TEST, the downward trend in the number of malicious applications from 2016 to 2018 has ended. Since 2019, malicious applications have begun to rise sharply. increase. In addition, in order to avoid detection of malicious applications, attackers continue to increase the complexity of malicious applications. [0004] In recent years, a detection method based on mobile network traffic has been proposed. This method can complete the detection ...

AI Technical Summary

Problems solved by technology

However, the inventor found that the existing automated traffic collection platform only focuses on the speed of network traffic collection, and there is no relevant research and discussion on how to efficiently trigger network traffic and effective traversal methods.

Although Android automated testing technology can be applied to simulate the operation of Android applications to obtain network traffic, the focus of the two is slightly different. Traditional Android testing focuses more on triggering mobile application bugs, while traffic triggering focuses on triggering mobile applications. The traffic content of the application, directly using the existing Android test strategy, cannot fully trigger the network traffic of the mobile application, so how to efficiently trigger the network traffic of the Android application is an urgent problem to be solved

In addition, as mobile application pages become more complex and diverse, and the scale of controls increases dramatically, the traditional trigger strategy can no longer cope with the increasingly complex mobile applications.

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