ANDRIK: Automated Android malware analysis

Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/60606

Title:	ANDRIK: Automated Android malware analysis
Author:	Acin Sanz, Victor
Tutor:	Lozano Merino, Marco Antonio
Others:	Universitat Oberta de Catalunya
Abstract:	The cybercrime industry is rapidly improving and expanding, and this concerns mobile devices as well. Trojan bankers not only affect end-user computers, but are spreading in other platforms. In this particular case, Blueliv, a cyber-threat intelligence provider wants to improve its capabilities to detect these threats and to mitigate them. To do so, they want to expand the amount of samples analyzed by their sandbox to Android applications. Because there are already some solutions available, the approach followed has been to integrate one of these solutions into their sandbox systems, performing any adaptations required to provide the sandbox with stability, and efficiency. Using this sandbox, Blueliv will also be capable of classifying and extracting information from known samples. This document explains how this integration has been performed, how one can analyze Android malware samples, and how to use the results of this analysis to allow the Sandbox to classify and extract information from the analyzed samples.
Keywords:	Android malware sandbox
Document type:	info:eu-repo/semantics/masterThesis
Issue Date:	Jan-2017
Publication license:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Appears in Collections:	Trabajos finales de carrera, trabajos de investigación, etc.