摘要
在安卓系统中,一个应用的申请的权限往往能反应出这个应用的行为模式。而一个恶意应用的出现,是需要多个权限配合的。本文针对Android平台恶意应用泛滥的问题,通过对Apriroi算法进行研究改进,寻找恶意应用申请权限之间的关联性,挖掘它们之间的关系,判断应用的恶意性,为Android用户提供安全保障。并通大量实验数据以及与其它方法进行比较得出,本文提出的方法的准确率高达78.6%,能够较为准确的判断出一个应用是否是恶意应用。
In the Android system,a app requests permission's action can know the app's behaviorpatterns.But the coming of Malicious applications need work in with many permissions.The article uses the Apriori algorithm exhumes the association of permission for every App requests to research the App's Malicious nature.If the App is harmful,then it can give the user a tips.Then,article throughs a lot of experimental data and compare with other ways to get the result that our ways' accuracy is 78.6%.So,itcan be more accurate to determine whether an application is malicious applications.
出处
《电子设计工程》
2017年第22期85-88,共4页
Electronic Design Engineering
