A Genetic Algorithms-based Approach for Optimized Self-protection in a Pervasive Service Middleware

Weishan Zhang, Mads Ingstrup, Klaus Marius Hansen, Julian Schütte

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    8 Citationer (Scopus)

    Abstract

    With increasingly complex and heterogeneous systems in pervasive service computing, it becomes more and more important to provide self-protected services to end users. In order to achieve self-protection, the corresponding security should be provided in an optimized manner considering the constraints of heterogeneous devices and networks. In this paper, we present a Genetic Algorithms-based approach for obtaining optimized security configurations at run time, supported by a set of security OWL ontologies and an event-driven framework. This approach has been realized as a prototype for self-protection in the Hydra middleware, and is integrated with a framework for enforcing the computed solution at run time using security obligations. The experiments with the prototype on configuring security strategies for a pervasive service middleware show that this approach has acceptable performance, and could be used to automatically adapt security strategies in the middleware.
    OriginalsprogEngelsk
    BogserieLecture Notes in Computer Science
    Sider (fra-til)404-419
    Antal sider15
    ISSN0302-9743
    DOI
    StatusUdgivet - 2009
    BegivenhedInternational Conference on Service-Oriented Computing, CSOC-ServiceWave - Stockholm, Sverige
    Varighed: 24 nov. 200927 nov. 2009
    Konferencens nummer: 7

    Konference

    KonferenceInternational Conference on Service-Oriented Computing, CSOC-ServiceWave
    Nummer7
    Land/OmrådeSverige
    ByStockholm
    Periode24/11/200927/11/2009

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