GRASP-based Feature Selection for Intrusion Detection in CPS Perception Layer

Author:

Quincozes Silvio E.,Passos Diego,Albuquerque Celio,Ochi Luiz Satoru,Mosse Daniel

Publisher

IEEE

Cited by 11 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. Anomaly Detection in Cyber-Physical Systems Based on Genetic Algorithm with Dynamic Thresholding Detection;2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2024-08-01

2. A survey on IoT application layer protocols, security challenges, and the role of explainable AI in IoT (XAIoT);International Journal of Information Security;2024-03-13

3. An innovative clustering protocol based on the GRASP Algorithm for Wireless Sensor Networks;2023 Second International Conference on Energy Transition and Security (ICETS);2023-12-12

4. Assessing Machine Learning Techniques for Intrusion Detection in Cyber-Physical Systems;Energies;2023-08-18

5. ERENO: A Framework for Generating Realistic IEC–61850 Intrusion Detection Datasets for Smart Grids;IEEE Transactions on Dependable and Secure Computing;2023

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