Towards automatic critical infrastructure protection through machine learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8328 LNCS, Issue , 2013, Pages 197-203

  Cazorla, Lorena ^a   Alcaraz, Cristina ^a   Lopez, Javier ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

Critical Infrastructure Protection; Intrusion Detection; Machine Learning

Indexed keywords

CRITICAL INFRASTRUCTURE PROTECTION; INTRUSION DETECTION SYSTEMS; LEVELS OF AUTOMATION; NEW FORMS; SITUATIONAL AWARENESS;

CRITICAL INFRASTRUCTURES; INTRUSION DETECTION;

LEARNING SYSTEMS;

EID: 84893200598     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03964-0_18     Document Type: Conference Paper

References (17)

1. European Commission: COM(2011) 163 Achievements and Next Steps: Towards Global Cyber-Security. Publications Office (2011)
2. European Commission: COM(2009) 149 Protecting Europe from Large Scale Cyber-Attacks and Disruptions: Enhancing Preparedness, Security and Resilience. Publications Office (2009)
3. Scarfone, K., Mell, P.: Guide to Intrusion Detection and Prevention Systems (IDPS). NIST Special Publication SP 800-94 (2012)
4. Chertoff, M.: National Infrastructure Protection Plan. Department of Homeland Security (DHS),Washington (2009)
5. Alcaraz, C., Lopez, J.: Wide-Area Situational Awareness for Critical Infrastructure Protection. IEEE Computer 46(4), 30-37 (2013), http://doi.ieeecomputersociety.org/10.1109/MC.2013.72
6. Burbeck, K., Nadjm-Tehrani, S.: Adaptive Real-Time Anomaly Detection with Incremental Clustering. Information Security Technical Report 12(1), 56-67 (2007)
7. Witten, I., Frank, E., Hall, M.: Data Mining: Practical Machine Learning Tools and Techniques. M. Kaufmann (2011)
8. Roosta, T., Nilsson, D., Lindqvist, U., Valdes, A.: An Intrusion Detection System for Wireless Process Control Systems. In: 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2008, pp. 866-872. IEEE (2008)
9. Düssel, P., Gehl, C., Laskov, P., Bußer, J., Störmann, C., Kästner, J.: Cyber-Critical Infrastructure Protection using Real-Time Payload-Based Anomaly Detection. Critical Information Infrastructures Security, 85-97 (2010)
10. D'Antonio, S., Oliviero, F., Setola, R.: High-Speed Intrusion Detection in Support of Critical Infrastructure Protection. Critical Information Infrastructures Security, 222-234 (2006)
11. Yang, D., Usynin, A., Hines, J.: Anomaly-based Intrusion Detection for SCADA Systems. In: 5th Intl. Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies (NPIC&HMIT 2005), pp. 12-16 (2006)
12. Hadziosmanovic, D., Bolzoni, D., Hartel, P., Etalle, S.: MELISSA: Towards Automated Detection of Undesirable User Actions in Critical Infrastructures (2011)
13. Carcano, A., Fovino, I., Masera, M., Trombetta, A.: State-Based Network Intrusion Detection Systems for SCADA Protocols: a Proof of Concept. Critical Information Infrastructures Security, 138-150 (2010)
14. Reeves, J., Ramaswamy, A., Locasto, M., Bratus, S., Smith, S.: Intrusion Detection for Resource-Constrained Embedded Control Systems in the Power Grid. International Journal of Critical Infrastructure Protection (2012)
15. Cheung, S., Dutertre, B., Fong, M., Lindqvist, U., Skinner, K., Valdes, A.: Using Modelbased Intrusion Detection for SCADA Networks. In: Proceedings of the SCADA Security Scientific Symposium, pp. 127-134 (2007)
16. Lin, H., Slagell, A., Martino, C.D., Kalbarczyk, Z., Iyer, R.: Adapting Bro into SCADA: Building a Specification-based Intrusion Detection System for the DNP3 Protocol (2012)
17. Raciti, M., Nadjm-Tehrani, S.: Embedded cyber-physical anomaly detection in smart meters. In: Hämmerli, B.M., Kalstad Svendsen, N., Lopez, J. (eds.) CRITIS 2012. LNCS, vol. 7722, pp. 34-45. Springer, Heidelberg (2013)