Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 60076
Malware Detection in Mobile Devices by Analyzing Sequences of System Calls

Authors: Ana Lucila Sandoval Orozco, Luis Javier García Villalba, Jorge Maestre Vidal

Abstract:

With the increase in popularity of mobile devices, new and varied forms of malware have emerged. Consequently, the organizations for cyberdefense have echoed the need to deploy more effective defensive schemes adapted to the challenges posed by these recent monitoring environments. In order to contribute to their development, this paper presents a malware detection strategy for mobile devices based on sequence alignment algorithms. Unlike the previous proposals, only the system calls performed during the startup of applications are studied. In this way, it is possible to efficiently study in depth, the sequences of system calls executed by the applications just downloaded from app stores, and initialize them in a secure and isolated environment. As demonstrated in the performed experimentation, most of the analyzed malicious activities were successfully identified in their boot processes.

Keywords: information security, mobile devices, Malware, Intrusion Detection Systems, android

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