Analysing Android Spam Call Applications
Developing a Methodology For Dynamic Analysis
A.I. Pashov (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Yury Zhauniarovich – Mentor (TU Delft - Organisation & Governance)
A. Zarras – Mentor (TU Delft - Cyber Security)
Geert Jan Houben – Graduation committee member (TU Delft - Web Information Systems)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
The aim of this research is to provide a structured approach for dynamically analysing Android applications, focusing on applications that block or flag suspected spam caller IDs. This paper discusses ways to determine how an application stores the data regarding the phone numbers, and what APIs it utilizes. In order to develop a methodology of what to search for while performing dynamic analysis, the research in this paper focuses on analysing one such Android application, using it as a template. Additionally, it provides insights and limitations on this analysed application, and potential improvements both on the techniques and tools used.