A Novel LWCSO-PKM-Based Feature Optimization and Classification of Attack Types in SCADA Network-Reference-Cited by-同舟云学术

A Novel LWCSO-PKM-Based Feature Optimization and Classification of Attack Types in SCADA Network

Published:2017-04-24 Issue:8 Volume:42 Page:3435-3449
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Krishnan Sadhasivan Dhanalakshmi,Balasubramanian Kannapiran

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/article/10.1007/s13369-017-2524-0/fulltext.html

Reference43 articles.

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3. Wang, G.; Hao, J.; Ma, J.; Huang, L.: A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering. Expert Syst. Appl. 37, 6225–6232 (2010)

4. Yang, Y.; McLaughlin, K.; Sezer, S.; Littler, T.; Im, E.G.; Pranggono, B.; et al.: Multiattribute SCADA-specific intrusion detection system for power networks. IEEE Trans. Power Deliv. 29, 1092–1102 (2014)

5. Zhu, B.; Sastry, S.: SCADA-specific intrusion detection/prevention systems: a survey and taxonomy. In: Proceedings of the 1st Workshop on Secure Control Systems (SCS) (2010)

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