DELTA: Data Extraction and Logging Tool for Android
Mauro Conti, Elia Dal Santo, Riccardo Spolaor

TL;DR
This paper introduces DELTA, a flexible and efficient Android data logging tool that enhances existing solutions, with minimal impact on device performance, supporting research in user behavior and system analysis.
Contribution
The paper presents DELTA, a novel Android logging tool that improves flexibility, extensibility, and feature set over existing solutions, with thorough performance evaluation.
Findings
DELTA has low system performance impact
DELTA consumes minimal battery power
DELTA maintains user experience quality
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…
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Taxonomy
TopicsAdvanced Malware Detection Techniques · User Authentication and Security Systems · Opportunistic and Delay-Tolerant Networks
