Detecting malware and evaluating risk of app using Android permission-API system

Huan Zeng, Yan Ren, Qing-xian Wang, Neng-Qiang He, Xu-Yang Ding
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引用次数: 4

Abstract

The popularity and widely use of cellphone have greatly stimulated the spread of the apps. Meanwhile, security issues are increasing quickly, particularly for Android based devices. In this paper, through analyzing the android permissions system and android API system, we want to find out the relationship between permissions and APIs. Furthermore, we propose an approach to detect message intercepting malware. The contribution of this paper is threefold: first, we perform static analysis on the app to extract permissions and system APIs. In order to avoid permissions and APIs over declaration, we build java function call graph and find the system APIs been used; secondly, we proposed a light weight method to dynamic find out and update the relationship between permissions and APIs; third, we proposed a dynamic controlled method to detect android malwares. This proposed method is verified by extensive experiments.
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使用Android permission-API系统检测恶意软件并评估应用风险
手机的普及和广泛使用极大地刺激了应用程序的传播。与此同时,安全问题也在迅速增加,尤其是基于Android的设备。本文通过对android权限系统和android API系统的分析,找出权限和API之间的关系。此外,我们还提出了一种检测消息拦截恶意软件的方法。本文的贡献有三个方面:首先,我们对应用程序进行静态分析,提取权限和系统api。为了避免权限和api的过度声明,我们构建了java函数调用图,并找到了使用的系统api;其次,我们提出了一种轻量级的方法来动态发现和更新权限与api之间的关系;第三,提出了一种动态控制的android恶意软件检测方法。通过大量的实验验证了该方法的有效性。
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