Description
Date depot: 27 mars 2019
Titre: Towards trustworthy detection and prevention of threats for mobile devices
Directeur de thèse:
Marc DACIER (KAUST)
Encadrant :
Yanick FRATANTONIO (Cisco)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
The importance of mobile phones in our everyday life has
increased significantly during the last decade, and a number of security sensitive
operations are already often performed by means of a mobile phone. This PhD thesis aims
at addressing the open problems of the state of the art of malware analysis
for mobile phones. This work will aim at developing a generic and comprehensive
framework capable of performing behavioural malware analysis for mobile
systems, and a set of analysis implemented on top of the aforementioned framework
which leverage both static and dynamic techniques to trigger and record
malicious behaviors in unknown applications. One of the main focus will be to
provide transparency to the framework, so that the applications under analysis
cannot detect and circumvent the analysis. The framework will also be able to
perform holistic analysis, giving the same importance to each of the
components within an application and the interactions between them. In addition, a shrunken
version of the framework could be deployed on end-user’s mobile devices in
order to perform real-time malware analysis and protection,
leveraging malicious behaviour recognition.
Doctorant.e: Nisi Dario