CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case

• Main Authors: Halbouni, Asmaa Hani, Gunawan, Teddy Surya, Habaebi, Mohamed Hadi, Halbouni, Murad, Kartiwi, Mira, Ahmad, Robiah
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/100333/7/100333_CNN-LSTM%20hybrid%20deep%20neural%20network.pdf; http://irep.iium.edu.my/100333/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9889698; https://doi.org/10.1109/ACCESS.2022.3206425
• Institution: Universiti Islam Antarabangsa Malaysia

Network security becomes indispensable to our daily interactions and networks. As attackers continue to develop new types of attacks and the size of networks continues to grow, the need for an effective intrusion detection system has become critical. Numerous studies implemented machine learning alg...