System, method and device for predicting potential threats of mobile terminal applications

Abstract

The invention provides a predicting system for potential threats of an application program of a mobile terminal. The predicting system comprises a cloud server, an application store server and the mobile terminal, wherein the cloud server is used for collecting application threat empirical data of a user and / or application threat empirical data of a mobile platform ecosystem, and analyzing to obtain statistic empirical data of the potential threats; the application store server is used for downloading the statistic empirical data of the potential threats of an appointed application program from the cloud server; the mobile terminal is used for checking the statistic empirical data of the potential threats of the appointed application program on a navigation interface of the application store server, and predicting the potential threats of the appointed application program according to the statistic empirical data of the potential threats of the appointed application program. The invention further provides a predicting method, the cloud server, the application store server and the mobile terminal for the potential threats of the application program of the mobile terminal. Monitoring and intercepting capabilities for rogue programs can be improved, and safety of the mobile terminal is improved.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a system and method for predicting potential threats of application programs of mobile terminals, a cloud server, an application mall server and a mobile terminal. Background technique [0002] With the increasingly powerful functions of smart mobile terminals such as smart phones, the number of mobile smart terminal application software has increased sharply, and the number of mobile smart terminal users has increased rapidly. But what follows is that there are more and more applications with malicious behaviors, which is hard to detect. The malicious behaviors of these applications mainly include: maliciously deducting fees or consuming packages, stealing user privacy data, downloading software online without prompting, spreading malicious software in large quantities, etc. How to prevent these malicious programs has become an urgent problem to be solved. [0003] The ...

AI Technical Summary

Problems solved by technology

[0011] (1) The permission information of the application cannot directly reflect the behavior of the application, so inferring the potential threat of the application will lead to a very high rate of misjudgment, and ordinary users do not have relevant knowledge to judge potential threats. It is more difficult to judge its potential threats based on permission information

[0012] (2) It is difficult for users to learn reliable potential threat information of applications from reviews and rating information

Because users' evaluations of applications are often less objective, less accurate in description, and different user comments are quite different, unrefined, with a large amount of information but poor summarization

[0013] (3) From the other basic information of the application, it is more difficult for the user to know the potential threat of the application

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