Abstract
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.
This work was supported by the German Bundesministerium für Bildung und Forschung (BMBF) under the project ReMIND (FKZ 01-IS07007A).
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References
Security concept pcs6 and wincc-basic document. White paper, Siemens AG, A5E02128732-01 (April 2008)
Bigham, J., Gamez, D., Lu, N.: Safeguarding scada systems with anomaly detection. In: Gorodetsky, V., Popyack, L.J., Skormin, V.A. (eds.) MMM-ACNS 2003. LNCS, vol. 2776, pp. 171–182. Springer, Heidelberg (2003)
Bolzoni, D., Zambon, E., Etalle, S., Hartel, P.H.: Poseidon: a 2-tier anomaly-based network intrusion detection system. In: 4th IEEE Int. Information Assurance Workshop (IWIA 2006), pp. 144–156 (2006)
D’Antonio, S., Oliviero, F., Setola, R.: High-speed intrusion detection in support of critical infrastructure protection. In: Proc. 1st International Workshop on Critical Information Infrastructures Security (2006)
Düssel, P., Gehl, C., Laskov, P., Rieck, K.: Incorporation of application layer protocol syntax into anomaly detection. In: Sekar, R., Pujari, A.K. (eds.) ICISS 2008. LNCS, vol. 5352, pp. 188–202. Springer, Heidelberg (2008)
Jin, X., Bigham, J., Rodaway, J., Gamez, D., Phillips, C.: Anomaly detection in electricity cyber infrastructures. In: Proceedings of the International Workshop on Complex Networks and Infrastructure Protection, CNIP 2006 (2006)
Kruegel, C., Toth, T., Kirda, E.: Service specific anomaly detection for network intrusion detection. In: Proc. of ACM Symposium on Applied Computing, pp. 201–208 (2002)
Lee, W., Stolfo, S.: A framework for constructing features and models for intrusion detection systems. ACM Transactions on Information Systems Security 3, 227–261 (2000)
Mahoney, M., Chan, P.: Learning nonstationary models of normal network traffic for detecting novel attacks. In: Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 376–385 (2002)
Paxson, V.: Bro: a system for detecting network intruders in real-time. In: Proc. of USENIX Security Symposium, pp. 31–51 (1998)
Rieck, K., Laskov, P.: Language models for detection of unknown attacks in network traffic. Journal in Computer Virology 2(4), 243–256 (2007)
Roesch, M.: Snort: Lightweight intrusion detection for networks. In: Proc. of USENIX Large Installation System Administration Conference LISA, pp. 229–238 (1999)
Wang, K., Parekh, J., Stolfo, S.: Anagram: A content anomaly detector resistant to mimicry attack. In: Zamboni, D., Krügel, C. (eds.) RAID 2006. LNCS, vol. 4219, pp. 226–248. Springer, Heidelberg (2006)
Wang, K., Stolfo, S.: Anomalous payload-based network intrusion detection. In: Jonsson, E., Valdes, A., Almgren, M. (eds.) RAID 2004. LNCS, vol. 3224, pp. 203–222. Springer, Heidelberg (2004)
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Düssel, P., Gehl, C., Laskov, P., Bußer, JU., Störmann, C., Kästner, J. (2010). Cyber-Critical Infrastructure Protection Using Real-Time Payload-Based Anomaly Detection. In: Rome, E., Bloomfield, R. (eds) Critical Information Infrastructures Security. CRITIS 2009. Lecture Notes in Computer Science, vol 6027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14379-3_8
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DOI: https://doi.org/10.1007/978-3-642-14379-3_8
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