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Robust Attack Detection Approach for IIoT Using Ensemble Classifier.

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Identification of Phishing Attack in Websites Using Random Forest-SVM Hybrid Model., , , и . ISDA (2), том 941 из Advances in Intelligent Systems and Computing, стр. 120-128. Springer, (2018)An integrated intrusion detection system using correlation-based attribute selection and artificial neural network., , , , и . Trans. Emerg. Telecommun. Technol., (2021)sv(M)kmeans - A Hybrid Feature Selection Technique for Reducing False Positives in Network Anomaly Detection., , и . COMAD, стр. 109-112. Computer Society of India, (2014)Parallelization of Machine Learning Models for Credit Card Fraud Detection., , , , и . Int. J. Syst. Syst. Eng., (2023)Identification of Botnet Attacks Using Hybrid Machine Learning Models., , , и . HIS, том 1179 из Advances in Intelligent Systems and Computing, стр. 249-257. Springer, (2019)Revolutionizing Malware Detection: Feature-Based Approach for Targeting Diverse Malware Categories., и . ICCST, стр. 1-5. IEEE, (2023)Analysis on Improving the Performance of Machine Learning Models Using Feature Selection Technique., , , и . ISDA (2), том 941 из Advances in Intelligent Systems and Computing, стр. 69-77. Springer, (2018)Performance Analysis of Single- and Ensemble-Based Classifiers for Intrusion Detection., , и . SocProS (2), том 1057 из Advances in Intelligent Systems and Computing, стр. 759-770. Springer, (2018)An intelligent ensemble of long-short-term memory with genetic algorithm for network anomaly identification., , , , , и . Trans. Emerg. Telecommun. Technol., (2022)Robust Attack Detection Approach for IIoT Using Ensemble Classifier., , , , и . CoRR, (2021)