A Review of Research Works on Supervised Learning Algorithms for SCADA Intrusion Detection and Classification
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- Choubineh, Abouzar & Wood, David A. & Choubineh, Zahak, 2020. "Applying separately cost-sensitive learning and Fisher's discriminant analysis to address the class imbalance problem: A case study involving a virtual gas pipeline SCADA system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 29(C).
- Al-Daweri, Muataz Salam & Abdullah, Salwani & Ariffin, Khairul Akram Zainol, 2021. "A homogeneous ensemble based dynamic artificial neural network for solving the intrusion detection problem," International Journal of Critical Infrastructure Protection, Elsevier, vol. 34(C).
- Abou el Kalam, Anas, 2021. "Securing SCADA and critical industrial systems: From needs to security mechanisms," International Journal of Critical Infrastructure Protection, Elsevier, vol. 32(C).
- Ahmed Ahmim & Mohamed Amine Ferrag & Leandros Maglaras & Makhlouf Derdour & Helge Janicke & George Drivas, 2020. "Taxonomy of Supervised Machine Learning for Intrusion Detection Systems," Springer Proceedings in Business and Economics, in: Androniki Kavoura & Efstathios Kefallonitis & Prokopios Theodoridis (ed.), Strategic Innovative Marketing and Tourism, pages 619-628, Springer.
- Oyeniyi Akeem Alimi & Khmaies Ouahada & Adnan M. Abu-Mahfouz, 2019. "Real Time Security Assessment of the Power System Using a Hybrid Support Vector Machine and Multilayer Perceptron Neural Network Algorithms," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
- Krishna Madhuri Paramkusem & Ramazan S. Aygun, 2018. "Classifying Categories of SCADA Attacks in a Big Data Framework," Annals of Data Science, Springer, vol. 5(3), pages 359-386, September.
- Yadav, Geeta & Paul, Kolin, 2021. "Architecture and security of SCADA systems: A review," International Journal of Critical Infrastructure Protection, Elsevier, vol. 34(C).
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Cited by:
- Sepideh Radhoush & Maryam Bahramipanah & Hashem Nehrir & Zagros Shahooei, 2022. "A Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challenges," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
- Alaa O. Khadidos & Hariprasath Manoharan & Shitharth Selvarajan & Adil O. Khadidos & Khaled H. Alyoubi & Ayman Yafoz, 2022. "A Classy Multifacet Clustering and Fused Optimization Based Classification Methodologies for SCADA Security," Energies, MDPI, vol. 15(10), pages 1-24, May.
- Ali Alzahrani & Theyazn H. H. Aldhyani, 2023. "Design of Efficient Based Artificial Intelligence Approaches for Sustainable of Cyber Security in Smart Industrial Control System," Sustainability, MDPI, vol. 15(10), pages 1-29, May.
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Keywords
artificial neural network; classification; critical infrastructures; industrial control systems; intrusion detection; supervised learning; SCADA; support vector machine;All these keywords.
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