Detection method and system of Hybrid mobile-application user interface (UI)

Abstract

The invention discloses a detection method and system of a Hybrid mobile-application user interface (UI). The method includes: acquiring HTML-format layout files of the to-be-detected user interface and a target user interface; extracting basic features, which represent visual effects of the user interfaces, in the layout files, wherein the basic features which represent the visual effects of the user interfaces include element types, element positions and element sizes; and calculating a similarity degree of the to-be-detected user interface and the target user interface according to the basic features which represent the visual effects of the user interfaces. The method can statically extract and analyze the visual features, can be used for large-scale similarity degree analysis of hybrid mobile-application user interfaces, has good expansibility, and has good efficiency gain as compared with a traditional dynamic analysis method.

Description

technical field [0001] The invention relates to the fields of network technology and information security technology, in particular to a detection method and system for a Hybrid mobile application user interface. Background technique [0002] Hybrid mobile applications, also known as HTML5-based mobile applications, are a recently popular mobile application development model. It uses the built-in browser environment (WebView) of the Android platform as the operating environment, and provides a JavaScript API for accessing Android system services to the JavaScript code in the upper WebView through the system access plug-in. The logic of its application is expressed in JavaScript code and HTML. The Hybrid mobile application uses the PhoneGap framework to solve the problems of customization and self-adaptation of the application interface on heterogeneous mobile terminals. PhoneGap supports the conversion and deployment of Web applications to a variety of different mobile plat...

AI Technical Summary

Problems solved by technology

However, the existing methods for analyzing source codes are mainly aimed at Web applications and Native applications, and none of them can detect Hybrid applications.

At the same time, the detection method does not detect the visual features that represent the visual effect of the UI, so the detection often deviates from the real problem, thus affecting the detection accuracy

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