Abstract : Supervisory Control and Data Acquisition (SCADA) systems are a critical part of large industrial facilities, such as water distribution infrastructures. With the goal of reducing costs and increasing efficiency, these systems are becoming increasingly interconnected. However, this has also exposed them to a wide range of network security problems. Our research focus on the development of a novel flow-based intrusion detection system. Based on the assumption that SCADA networks are well-behaved, we believe that it is possible to model the normal traffic by establishing relations between network flows. To improve accuracy and provide more information on the anomalous traffic, we will also research methods to derive a flow-based model for anomalous flows.
Type de document :
Communication dans un congrès
Burkhard Stiller; Filip Turck. 4th International Conference on Autonomous Infrastructure, Management and Security (AIMS), Jun 2010, Zurich, Switzerland. Springer, Lecture Notes in Computer Science, LNCS-6155, pp.163-166, 2010, Mechanisms for Autonomous Management of Networks and Services. 〈10.1007/978-3-642-13986-4_23〉
https://hal.inria.fr/hal-01056632
Contributeur : Hal Ifip
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Soumis le : mercredi 20 août 2014 - 12:22:28
Dernière modification le : vendredi 11 août 2017 - 16:20:35
Document(s) archivé(s) le : jeudi 27 novembre 2014 - 11:36:58
Rafael Ramos Regis Barbosa, Aiko Pras. Intrusion Detection in SCADA Networks. Burkhard Stiller; Filip Turck. 4th International Conference on Autonomous Infrastructure, Management and Security (AIMS), Jun 2010, Zurich, Switzerland. Springer, Lecture Notes in Computer Science, LNCS-6155, pp.163-166, 2010, Mechanisms for Autonomous Management of Networks and Services. 〈10.1007/978-3-642-13986-4_23〉. 〈hal-01056632〉
