Reference : Towards a Generic Framework for Automating Extensive Analysis of Android Applications

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/26632

Title :	Towards a Generic Framework for Automating Extensive Analysis of Android Applications
Language :	English
Author, co-author :	Li, Li [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Li, Daoyuan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Bartel, Alexandre []
	Bissyande, Tegawendé François D Assise [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Klein, Jacques [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
	Le Traon, Yves [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Apr-2016
Main document title :	The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016)
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016)
Event date :	from 04-04-2016 to 08-04-2016
Keywords :	[en] Android ; Static Analysis ; Generic Framework ; Apkpler
Abstract :	[en] Despite much effort in the community, the momentum of Android research has not yet produced complete tools to perform thorough analysis on Android apps, leaving users vulnerable to malicious apps. Because it is hard for a single tool to efficiently address all of the various challenges of Android programming which make analysis difficult, we propose to instrument the app code for reducing the analysis complexity, e.g., transforming a hard problem to a easy-resolvable one. To this end, we introduce in this paper Apkpler, a plugin-based framework for supporting such instrumentation. We evaluate Apkpler with two plugins, demonstrating the feasibility of our approach and showing that Apkpler can indeed be leveraged to reduce the analysis complexity of Android apps.
Research centres :	SnT
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	AndroMap C13/IS/5921289
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/26632

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