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Ontologies-Based Automated Intrusion Response System

  • Verónica Mateos Lanchas
  • Víctor A. Villagrá González
  • Francisco Romero Bueno
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 85)

Abstract

Automated intrusion response is an important problem in network security. Several Automated Intrusion Response Systems (AIRS) have been proposed to take over that task, but current proposals have limitations related to their adaptability to different intrusion sources, since they do not take into account the semantic of intrusion alerts coming from different Intrusion Detection Systems, with different formats and syntaxes. To solve this problem, this paper proposes an architecture for an AIRS based on ontologies, formal behavior specification languages and reasoning mechanisms, which automatically infers and executes the optimum response action when different security-events network detection sources detect security intrusions. This paper describes the system architecture as well as the inference process of the recommended and optimum responses.

Keywords

Intrusion Detection Mobile Agent Intrusion Detection System Inference Process Attack Graph 
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 2010

Authors and Affiliations

  • Verónica Mateos Lanchas
    • 1
  • Víctor A. Villagrá González
    • 1
  • Francisco Romero Bueno
    • 2
  1. 1.Universidad Politécnica de MadridMadridSpain
  2. 2.Telefónica Research and Development (TID)MadridSpain

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