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Manage., vol. 49, pp. 533\u2013545, Oct. 2019."},{"key":"e_1_3_2_1_26_1","volume-title":"\u2018\u2018Anomaly detection based on convolutional recurrent autoencoder for IoT time series,\u2019","author":"Yin S.","year":"2020","unstructured":"[26] C. Yin, S. Zhang, J. Wang, and N. N. Xiong, \u2018\u2018Anomaly detection based on convolutional recurrent autoencoder for IoT time series,\u2019\u2019 IEEE Trans. Syst., Man, Cybern. Syst., early access, Feb. 7, 2020."},{"key":"e_1_3_2_1_27_1","first-page":"32","volume-title":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. (Vol. 3","author":"Schuldt C.","unstructured":"[27] Schuldt, C., Laptev, I. and Caputo, B., 2004, August. Recognizing human actions: a local SVM approach. In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. (Vol. 3, pp. 32-36). IEEE."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9614-6"},{"key":"e_1_3_2_1_29_1","volume-title":"Tutorial on support vector machine (svm). School of EECS","author":"Jakkula V.","unstructured":"[29] Jakkula, V., 2006. Tutorial on support vector machine (svm). School of EECS, Washington State University, 37(2.5), p.3."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-022-10259-3"},{"key":"e_1_3_2_1_31_1","volume-title":"2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 143-148)","author":"Leevy J.L.","unstructured":"[31] Leevy, J.L., Khoshgoftaar, T.M. and Peterson, J.M., 2021, August. Mitigating class imbalance for iot network intrusion detection: a survey. In 2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 143-148). IEEE."},{"issue":"21","key":"e_1_3_2_1_32_1","first-page":"8417","volume":"22","author":"Banaamah A.M.","year":"2022","unstructured":"[32] Banaamah, A.M. and Ahmad, I., 2022. Intrusion Detection in IoT Using Deep Learning. Sensors, 22(21), p.8417.","journal-title":"Intrusion Detection in IoT Using Deep Learning. Sensors"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"[33] Elejla O.E. Belaton B. Anbar M. Alabsi B. and Al-Ani A.K. 2019. Comparison of classification algorithms on ICMPv6-based DDoS attacks detection. 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