Intrusion Detection in Water Distribution Systems using Machine Learning Techniques: A Survey
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/ielx7/9831187/9831454/09831687.pdf?arnumber=9831687
Reference28 articles.
1. Detection of cyberattacks in a water distribution system using machine learning techniques
2. BALANCING INNOVATION AND VULNERABILITY: WATER SECURITY IN AN AGE OF CYBER-WARFARE
3. Cyber-Attack Detection in Water Distribution Systems Based on Blind Sources Separation Technique
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3. Intrusion Detection In Water Distribution Systems Using Machine Learning Techniques;2022 International Conference on Artificial Intelligence of Things (ICAIoT);2022-12-29
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