DocumentCode :
1788623
Title :
Towards the automated detection of unknown malware on live systems
Author :
Pek, Gabor ; Buttyan, Levente
Author_Institution :
Lab. of Cryptography & Syst. Security (CrySyS), Budapest Univ. of Technol. & Econ., Budapest, Hungary
fYear :
2014
fDate :
10-14 June 2014
Firstpage :
847
Lastpage :
852
Abstract :
In this paper, we propose a new system monitoring framework that can serve as an enabler for automated malware detection on live systems. Our approach takes advantage of the increased availability of hardware assisted virtualization capabilities of modern CPUs, and its basic novelty consists in launching a hypervisor layer on the live system without stopping and restarting it. This hypervisor runs at a higher privilege level than the OS itself, thus, it can be used to observe the behavior of the analyzed system in a transparent manner. For this purpose, we also propose a novel system call tracing method that is designed to be configurable in terms of transparency and granularity.
Keywords :
computer network security; invasive software; virtualisation; CPU; automated malware detection; hardware assisted virtualization capability; hypervisor layer; live systems; system call tracing method; system monitoring framework; unknown malware; Data structures; Hardware; Malware; Monitoring; Program processors; Virtual machine monitors; Virtualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICC.2014.6883425
Filename :
6883425
Link To Document :
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