Industrial Control System Traffic Data Sets for Intrusion Detection Research-Reference-Cited by-同舟云学术

Industrial Control System Traffic Data Sets for Intrusion Detection Research

Published:2014 Issue: Volume: Page:65-78
ISSN:0302-9743
Container-title:Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
language:
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Author:

Morris Thomas,Gao Wei

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-45355-1_5

Reference17 articles.

1. A. Carcano, A. Coletta, M. Guglielmi, M. Masera, I. Fovino and A. Trombetta, A multidimensional critical state analysis for detecting intrusions in SCADA systems, IEEE Transactions on Industrial Informatics, vol. 7(2), pp. 179–186, 2011.

2. S. Cheung, B. Dutertre, M. Fong, U. Lindqvist, K. Skinner and A. Valdes, Using model-based intrusion detection for SCADA networks, Proceedings of the SCADA Security Scientific Symposium, 2007.

3. N. Falliere, L. O’Murchu and E. Chien, W32.Stuxnet Dossier, Version 1.4, Symantec, Mountain View, California, 2011.

4. W. Gao, Cyber Threats, Attacks and Intrusion Detection in Supervisory Control and Data Acquisition Networks, Ph.D. Dissertation, Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, Mississippi, 2014.

5. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann and I. Witten, The WEKA data mining software: An update, ACM SIGKDD Explorations, vol. 11(1), pp. 10–18, 2009.

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