Intrusion Detection In Water Distribution Systems Using Machine Learning Techniques
Author:
Affiliation:
1. University of Cape Town,Department of Electrical Engineering,Cape Town,South Africa
2. Council for Scientific and Industrial Research (CSIR),Pretoria,South Africa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10121817/10121741/10121852.pdf?arnumber=10121852
Reference33 articles.
1. Intrusion Detection in Water Distribution Systems using Machine Learning Techniques: A Survey
2. A Desktop Review of Security Techniques Applicable for Optimised Water Network
3. Machine Learning for Reliable Network Attack Detection in SCADA Systems
4. An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems
5. K-Nearest-Neighbours with a novel similarity measure for intrusion detection
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