Anomaly Detection in Cloud Based Application using System Calls

Marin Aranitasi, Mats Neovius

    Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

    Abstrakti

    Cloud computing is a rapidly developing computing paradigm. It enables dynamic on-demand resource distribution computing in a cost-effective manner. However, it introduces compelling concerns related to privacy and security of the data. As many of these have been extensively studied and are monitored effectively, this paper proposes a novel solution relying on detecting anomalies in system calls behavior of the system. We use Dempster-Shafer theory of evidence for learning the normality and show how to parametrize this in the method presented. The method is scalable to any set of system calls. Finally, we propose further challenges on this track.

    AlkuperäiskieliEi tiedossa
    OtsikkoCLOUD COMPUTING 2017 The Eighth International Conference on Cloud Computing, GRIDs, and Virtualization
    ToimittajatWestphall Carlos Becker, Lee Yong Woo, Duncan Bob, Olmsted Aspen, Vassilakopoulos Michael, Lambrinoudakis Costas, Katsikas Sokratis K., Ege Raimund
    KustantajaIaria xps press
    Sivut44–48
    ISBN (painettu)978-1-61208-529-6
    TilaJulkaistu - 2017
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
    TapahtumaInternational Conference on Cloud Computing, GRIDs, and Virtualization - Eighth International Conference on Cloud Computing, GRIDs, and Virtualization
    Kesto: 19 helmikuuta 201723 helmikuuta 2017

    Konferenssi

    KonferenssiInternational Conference on Cloud Computing, GRIDs, and Virtualization
    Ajanjakso19/02/1723/02/17

    Keywords

    • Cloud computing
    • Information Security
    • Kernel methods

    Viittausmuodot