Paper Info
Title
A Genetic Algorithms-Based Approach for Optimized Self-protection in a Pervasive Service Middleware
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.
Year
DOI
Venue
2009
10.1007/978-3-642-10383-4_29
ICSOC/ServiceWave
Keywords
Field
DocType
pervasive service middleware show,optimized security configuration,security obligation,security owl ontology,pervasive service middleware,genetic algorithms-based approach,configuring security strategy,security strategy,hydra middleware,optimized self-protection,run time,corresponding security,middleware,genetic algorithm
Ontology (information science),Middleware,Services computing,Middleware (distributed applications),End user,Computer science,Real-time computing,Genetic algorithm,Message oriented middleware,Computer security model,Distributed computing
Conference
Volume
ISSN
Citations 
5900
0302-9743
7
PageRank 
References 
Authors
0.49
13
4
Name
Order
Citations
PageRank
Weishan Zhang139652.57
Julian Schütte25814.61
Mads Ingstrup3556.18
Klaus MariusHansen410412.31