Federated learning-based intrusion detection system for Internet of Things
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10207-023-00727-6.pdf
Reference31 articles.
1. Almomani, I., Kasasbeh, B., AL-Akhras, M.: WSN-DS: a dataset for intrusion detection systems in wireless sensor networks. J. Sens. 2016, 1–16 (2016). https://doi.org/10.1155/2016/4731953
2. Arya, M., Sastry, H., Dewangan, B.K., Rahmani, M.K.I., Bhatia, S., Muzaffar, A.W., Bivi, M.A.: Intruder detection in vanet data streams using federated learning for smart city environments. Electronics, 12(4), (2023)
3. Cetin, B., Lazar, A., Kim, J., Sim, A., Wu, K.: Federated wireless network intrusion detection. In: 2019 IEEE International Conference on Big Data (Big Data), pp. 6004–6006 (2019)
4. Chen, Z., Lv, N., Pengfei Liu, Yu., Fang, K.C., Pan, W.: Intrusion detection for wireless edge networks based on federated learning. IEEE Access 8, 217463–217472 (2020)
5. Dawson, H.L., Dubrule, O., John, C.M.: Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification. Comput. Geosci. 171, 105284 (2023)
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