Intrusion Detection in Water Distribution Systems using Machine Learning Techniques: A Survey

Author:

Mabunda Hlayisani D.1,Ramotsoela Daniel T.1,Abu-Mahfouz Adnan M.2

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

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LSTM-Based Detection of OT Cyber-Attacks for an Offshore HVAC-Cooling Process;2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT);2023-07-21

2. SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection;Internet of Things;2023-04

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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