IoT-based intrusion detection system for healthcare using RNNBiLSTM deep learning strategy with custom features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08536-8.pdf
Reference26 articles.
1. Abu Al-Haija Q, Krichen M, Abu Elhaija W (2022) Machine-learning-based darknet traffic detection system for IoT applications. Electronics 11:556. https://doi.org/10.3390/electronics11040556
2. Alkahtani H, Aldhyani THH (2021) Intrusion detection system to advance internet of things infrastructure-based deep learning algorithms. Complexity 2021(5579851):1–18. https://doi.org/10.1155/2021/5579851
3. Ashiku L, Dagli C (2021) Network intrusion detection system using deep learning. Procedia Comput Sci 185(2021):239–247. https://doi.org/10.1016/j.procs.2021.05.025
4. Chiba Z, Abghour N, Moussaid K, Elomri A, Rida M (2019) Intelligent approach to build a deep neural network based IDS for cloud environment using combination of machine learning algorithms. Comput Secur 86(1):291–317. https://doi.org/10.1016/j.cose.2019.06.013
5. Elsayed MA, Wrana M, Mansour Z, Lounis K, Ding SHH, Zulkernine M (2022) AdaptIDS: adaptive intrusion detection for mission-critical aerospace vehicles. IEEE Trans Intell Transp Syst. https://doi.org/10.1109/TITS.2022.3214095
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