Anomaly Detection in Cloud Based Application using System Calls

Marin Aranitasi, Mats Neovius

    Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

    Sammanfattning

    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.

    OriginalspråkOdefinierat/okänt
    Titel på gästpublikationCLOUD COMPUTING 2017 The Eighth International Conference on Cloud Computing, GRIDs, and Virtualization
    RedaktörerWestphall Carlos Becker, Lee Yong Woo, Duncan Bob, Olmsted Aspen, Vassilakopoulos Michael, Lambrinoudakis Costas, Katsikas Sokratis K., Ege Raimund
    FörlagIaria xps press
    Sidor44–48
    ISBN (tryckt)978-1-61208-529-6
    StatusPublicerad - 2017
    MoE-publikationstypA4 Artikel i en konferenspublikation
    EvenemangInternational Conference on Cloud Computing, GRIDs, and Virtualization - Eighth International Conference on Cloud Computing, GRIDs, and Virtualization
    Varaktighet: 19 feb 201723 feb 2017

    Konferens

    KonferensInternational Conference on Cloud Computing, GRIDs, and Virtualization
    Period19/02/1723/02/17

    Nyckelord

    • Cloud computing
    • Information Security
    • Kernel methods

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