Author:
Al-Omar Ban,Trabelsi Zouheir
Publisher
Springer Nature Switzerland
Reference28 articles.
1. Aldallal, A.: Toward efficient intrusion detection system using hybrid deep learning approach. Symmetry 14(9), 1916 (2022)
2. Bakhsh, S.T., Alghamdi, S., Alsemmeari, R.A., Hassan, S.R.: An adaptive intrusion detection and prevention system for internet of things. Int. J. Distribut. Sens. Netw. 15(11) (2021)
3. Cao, K., Zhu, J., Feng, W., Ma, C., Liu, M., Du, T.: Network intrusion detection based on dense dilated convolutions and attention mechanism. In: 2021 International Wireless Communications and Mobile Computing (IWCMC), pp. 463–468 (2021)
4. Deore, B., Bhosale, S.: Hybrid optimization enabled robust CNN-ISTM technique for network intrusion detection. IEEE Access 10, 65611–65622 (2022)
5. Freire, P.J., Srivallapanondh, S., Napoli, A., Prilepsky, J.E., Turitsyn, S.K.: Computational complexity evaluation of neural network applications in signal processing (2022)