With an increasing demand of inter-connectivity and protocol standardization modern cyber-critical infrastructures are exposed to a multitude of serious threats that may give rise to severe damage for life and assets without the implementation of proper safeguards. Thus, we propose a method that is capable to reliably detect unknown, exploit-based attacks on cyber-critical infrastructures carried out over the network. We illustrate the effectiveness of the proposed method by conducting experiments on network traffic that can be found in modern industrial control systems. Moreover, we provide results of a throughput measuring which demonstrate the real-time capabilities of our system. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Düssel, P., Gehl, C., Laskov, P., Bußer, J. U., Störmann, C., & Kästner, J. (2010). Cyber-critical infrastructure protection using real-time payload-based anomaly detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6027 LNCS, pp. 85–97). https://doi.org/10.1007/978-3-642-14379-3_8
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