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A DSL for Specifying Autonomic Security Management Strategies

  • Ruan He
  • Marc Lacoste
  • Jacques Pulou
  • Jean Leneutre
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6514)

Abstract

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.

Keywords

Intrusion Detection System System Administrator Adaptation Policy Security Objective Authorization Policy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ruan He
    • 1
  • Marc Lacoste
    • 1
  • Jacques Pulou
    • 1
  • Jean Leneutre
    • 2
  1. 1.Orange LabsFrance
  2. 2.Telecom ParisTechFrance

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