DELTA: Data Extraction and Logging Tool for Android

被引:10
|
作者
Spolaor, Riccardo [1 ]
Dal Santo, Elia [1 ]
Conti, Mauro [1 ]
机构
[1] Univ Padua, Dept Math Tulio Levi Civita, SPRITZ Secur & Privacy Res Grp, Human Inspired Technol HIT Ctr, I-35122 Padua, PD, Italy
基金
欧盟地平线“2020”;
关键词
Android; logging tool; data extraction; pervasive computing;
D O I
10.1109/TMC.2017.2762692
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, the use of smartphones has increased exponentially, and so have their capabilities. Together with an increase in processing power, smartphones are now equipped with a variety of sensors and provide an extensive set of API. These capabilities allow us to extract data related to environment, user habits, and operating system itself. This data is extremely valuable in many research fields such as user authentication, intrusion, and information leaks detection. For these reasons, researchers need a solid and reliable logging tool to collect data from mobile devices. In this paper, we first survey the existing logging tools available on the Android platform, comparing their features and their impact on the system. Then, we present DELTA - Data Extraction and Logging Tool for Android, which improves the existing Android logging solutions in terms of flexibility, fine-grained tuning capabilities, extensibility, and available set of logging features. We fully implement DELTA and we run a thorough performance evaluation. The results show that our tool has a low impact on the performance of the system, on battery consumption, and on user experience. Finally, we make the DELTA source code available to the research community.
引用
收藏
页码:1289 / 1302
页数:14
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