揭秘铁杆Android应用

Hao Zhou, Haoyu Wang, Yajin Zhou, Xiapu Luo, Yutian Tang, Lei Xue, Ting Wang
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引用次数: 11

摘要

智能手机厂商正在使用多种方法来终止Android应用程序的进程,以减少电池消耗。这促使开发者想方设法延长应用的存活时间,因此本文将其称为“死忠应用”。虽然有博客和文章阐述了实现这一目的的方法,但没有对它们进行系统的研究。更重要的是,人们对硬核应用的流行程度知之甚少。在本文中,我们通过回答以下研究问题,迈出了系统调查顽固应用程序的第一步。首先,他们为什么以及如何绕过Android的资源节约机制?第二,它们在野外有多普遍?特别是,我们进行了半自动化的分析,以说明为什么现有的方法可以避免杀死应用程序进程,然后系统地提出了12种顽固的方法。在此之后,我们开发了一个名为DiehardDetector的系统,用于大规模检测死硬应用程序。将DiehardDetector应用于b谷歌Play下载的8万多款Android应用的实验结果显示,约21%的应用采用了各种diehard方法。系统具有较高的查准率和查全率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demystifying Diehard Android Apps
Smartphone vendors are using multiple methods to kill processes of Android apps to reduce the battery consumption. This motivates developers to find ways to extend the liveness time of their apps, hence the name diehard apps in this paper. Although there are blogs and articles illustrating methods to achieve this purpose, there is no systematic research about them. What's more important, little is known about the prevalence of diehard apps in the wild. In this paper, we take a first step to systematically investigate diehard apps by answering the following research questions. First, why and how can they circumvent the resource-saving mechanisms of Android? Second, how prevalent are they in the wild? In particular, we conduct a semi -automated analysis to illustrate insights why existing methods to kill app processes could be evaded, and then systematically present 12 diehard methods. After that, we develop a system named DiehardDetector to detect diehard apps in a large scale. The experimental result of applying DiehardDetector to more than 80k Android apps downloaded from Google Play showed that around 21 % of apps adopt various diehard methods. Moreover, our system can achieve high precision and recall.
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