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机译:递归神经网络及其入侵检测系统(IDS)的评估
Center for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India;
Center for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India;
Center for Cyber Security Systems and Networks, Amrita School of Engineering, Amritapuri, Amrita Vishwa Vidyapeetham, India;
Deep Learning (DL) Approaches; Gated Recurrent Unit (GRU); Intrusion Detection (ID) Data Sets; KDDCup ’99’; Long Short-Term Memory (LSTM); Machine Learning (ML); Recurrent Neural Network (RNN); UNSW-NB15;
机译:经常性神经网络&基于入侵检测系统的深神经网络
机译:利用神经网络和支持向量机的变种强化混合入侵检测系统
机译:基于神经网络的TOR网络入侵检测和用户识别系统:使用Friedman测试对不同数量隐藏单元的性能评估
机译:递归神经网络的流量建模用于工业控制系统中的入侵检测
机译:故障运行入侵检测系统(FO-ID):一种保护汽车车载网络的机制
机译:使用深度神经网络的入侵检测系统用于车载网络安全
机译:使用经常性神经网络和注意机制的入侵检测系统