Author:
Ntizikira Ernest,Wang Lei,Chen Jenhui,Lu Xinxin
Publisher
Springer Science and Business Media LLC
Reference41 articles.
1. Derhab, A., Aldweesh, A., Emam, A.Z., Khan, F.A.: Intrusion detection system for the internet of things based on temporal convolution neural network and efficient feature engineering. Wirel. Commun. Mob. Comput. 2020(6689134), 1–16 (2020)
2. Pirozmand, P., Ghafary, M.A., Siadat, S., Ren, J.: Intrusion detection into cloud-fog-based IoT networks using game theory. Wirel. Commun. Mob. Comput. 2020(8819545), 1–9 (2020)
3. Zhang, X., Yuan, Y., Zhou, Z., Li, S., Qi, L., Puthal, D.: Intrusion detection and prevention in cloud, fog, and internet of things. Secur. Commun. Netw. 2019(4529757), 1–4 (2019)
4. Lv, L., Wang, W., Zhang, Z., Liu, X.: A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine. Knowl. Based Syst. 195, 105648 (2020)
5. Das, A., Kalam, S., Sahar, N., Sinha, D.: UCFL: user categorization using fuzzy logic towards PUF based two-phase authentication of fog assisted IoT devices. Comput. Secur. 97, 101938 (2020)