Existing self-protection frameworks so far hardly addressed the specification of autonomic security adaptation strategies which guide risk-aware selection or reconfiguration of security mechanisms. Domain-Specific Languages (DSL) present many benefits to achieve this goal in terms of simplicity, automated strategy verification, and run-time integration. This paper presents a DSL to describe security adaptation policies. The DSL is based on the condition-action approach and on a taxonomy of threats and applicable reactions. The DSL also allows to capture trade-offs between security and other concerns such as energy efficiency during the decision making phase. A translation mechanism to refine the DSL into a run-time representation, and integrate adaptation policies within legacy self-protection frameworks is also presented. © 2011 Springer-Verlag.
CITATION STYLE
He, R., Lacoste, M., Pulou, J., & Leneutre, J. (2011). A DSL for specifying autonomic security management strategies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6514 LNCS, pp. 216–230). Springer Verlag. https://doi.org/10.1007/978-3-642-19348-4_16
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