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.
Originalsprog | Engelsk |
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Bogserie | Lecture Notes in Computer Science |
Sider (fra-til) | 404-419 |
Antal sider | 15 |
ISSN | 0302-9743 |
DOI | |
Status | Udgivet - 2009 |
Begivenhed | International Conference on Service-Oriented Computing, CSOC-ServiceWave - Stockholm, Sverige Varighed: 24 nov. 2009 → 27 nov. 2009 Konferencens nummer: 7 |
Konference
Konference | International Conference on Service-Oriented Computing, CSOC-ServiceWave |
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Nummer | 7 |
Land/Område | Sverige |
By | Stockholm |
Periode | 24/11/2009 → 27/11/2009 |