A Comprehensive Analysis of Novel Intrusion Detection Systems for Internet of Things Networks
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-26254-8_3
Reference15 articles.
1. Liu, J., Yang, D., Lian, M., Li, M.: Research on intrusion detection based on particle swarm optimization in IoT. IEEE Access 9, 38254–38268 (2021)
2. de Souza, C.A., Westphall, C.B., Machado, R.B.: Two-step ensemble approach for intrusion detection and identification in IoT and fog computing environments. Comput. Electr. Eng. 98, 107694 (2022)
3. Kasongo, S.M.: An advanced intrusion detection system for IIoT based on GA and tree based algorithms. IEEE Access 9, 113199–113212 (2021)
4. Oktay, U., Sahingoz, O.K.: Proxy network intrusion detection system for cloud computing. In: 2013 the International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), pp. 98–104. IEEE, Konya (2013)
5. Kan, X., et al.: A novel IoT network intrusion detection approach based on adaptive particle swarm optimization convolutional neural network. Inf. Sci. 568, 147–162 (2021)
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