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DELTA: Data Extraction and Logging Tool for Android | | Mauro Conti
; Elia Dal Santo
; Riccardo Spolaor
; | | Date: |
9 Sep 2016 | | Abstract: | In the past few years, the use of smartphones has increased exponentially,
and so have the capabilities of such devices. Together with an increase in raw
processing power, modern smartphones are equipped with a wide variety of
sensors and expose an extensive set of API (Accessible Programming Interface).
These capabilities allow us to extract a wide spectrum of data that ranges from
information about the environment (e.g., position, orientation) to user habits
(e.g., which apps she uses and when), as well as about the status of the
operating system itself (e.g., memory, network adapters). This data can be
extremely valuable in many research fields such as user authentication,
intrusion detection and detection of information leaks. For these reasons,
researchers need to use 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 the features offered by different tools and their
impact on the system, and highlighting some of their shortcomings. 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
performed a full implementation of DELTA and we run a thorough evaluation on
its performance. The results show that our tool has low impact on the
performance of the system, on battery consumption, and on user experience.
Finally, we make the DELTA source code and toolset available to the research
community. | | Source: | arXiv, 1609.2769 | | Services: | Forum | Review | PDF | Favorites | |
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