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Communication Dans Un Congrès Année : 2019

Model based rules generation for Intrusion Detection System for industrial systems

Résumé

The security of cyber-physical systems (CPS) is a major concern and intrusion detection systems (IDS) are used to ensure this security. Model-based IDSs rely on the CPS model to detect abnormal behaviors. In this article, a model-based IDS rule generator is proposed, which converts a system model into anomaly-based IDS rules. In addition, the effectiveness of the rules generated is proven by a case study.
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Dates et versions

hal-02113756 , version 1 (29-04-2019)

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Mohamad Houssein Monzer, Kamal Beydoun, Jean-Marie Flaus. Model based rules generation for Intrusion Detection System for industrial systems. ICCAD 2019 - 3rd International Conference on Control, Automation and Diagnosis, Jul 2019, Grenoble, France. ⟨10.1109/ICCAD46983.2019.9037882⟩. ⟨hal-02113756⟩
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