Cloud Computing (CC) promises to offer seamless provisioning of on-demand services and data through the network. These services are made discoverable to the user in the form of simple abstractions via virtualized resources. These services offer unprecedented dynamic, primarily hardware dependent, scalability. Although CC promises to make life much easier for the user, it comes with significant security issues. Because on-demand service provisioning for applications and data will be used by hundreds of thousands (if not millions) of users simultaneously, a successful intrusion would not only expose sensitive data, but it could also completely cut users off from both applications and/or data. This paper examines the underlying security risks inherent to the CC paradigm, compares approaches to mitigate known security risks, and offers a solution that leverages intelligent multi-agent systems and network data ontologies to provide automated defense for both known and unknown malware security risks. We describe a mechanism whereby a dynamic ontology can be self-enriched over time to provide for some protection against unknown security risks.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Mitigating Cloud Computing security risks using a self-monitoring defensive scheme


    Beteiligte:
    Mazur, Steven (Autor:in) / Blasch, Erik (Autor:in) / Chen, Yu (Autor:in) / Skormin, Victor (Autor:in)


    Erscheinungsdatum :

    01.07.2011


    Format / Umfang :

    505059 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    The legal risks of cloud computing

    British Library Online Contents | 2009


    MITIGATING FIRE RISKS IN VEHICLES

    PHAM LINH HONG / KONOPKA CHRISTOPHER | Europäisches Patentamt | 2023

    Freier Zugriff



    DEFENSIVE SYSTEM USING DRONE

    KIM WOON GYUNG / KIM YOUNG SUK | Europäisches Patentamt | 2024

    Freier Zugriff