A Novel DNN-Based IDS System Combined with an LR-GA Method to Detect Attacks
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47724-9_15
Reference19 articles.
1. Kashani, M.H., Madanipour, M., Nikravan, M., Asghari, P., Mahdipour, E.: A systematic review of IoT in healthcare: applications, techniques, and trends. J. Netw. Comput. Appl. 192, 103164 (2021)
2. Samizadeh Nikoui, T., Rahmani, A.M., Balador, A., Haj Seyyed Javadi, H.: Internet of things architecture challenges: a systematic review. Int. J. Commun. Syst. 34(4), e4678 (2021)
3. Bhatt, S., Ragiri, P.R., et al.: Security trends in internet of things: a survey. SN Appl. Sci. 3(1), 1–14 (2021)
4. Heidari, A., Jabraeil Jamali, M.A.: Internet of things intrusion detection systems: a comprehensive review and future directions. Cluster Comput. 1–28 (2022)
5. Sahar, N., Mishra, R., Kalam, S.: Deep learning approach-based network intrusion detection system for fog-assisted IoT. In: Proceedings of the International Conference on Big Data, Machine Learning, and Their Applications, pp. 39–50. Springer (2021)
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