• 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