Machine Learning Based Network Intrusion Detection System for Internet of Things Cybersecurity
Author:
Molcer Piroska StanićORCID, Pejić AleksandarORCID, Gulači KristianORCID, Szalma RékaORCID
Publisher
Springer Netherlands
Reference33 articles.
1. Zeadally, S., Adi, E., Baig, Z., Khan, I.A.: Harnessing artificial intelligence capabilities to improve cybersecurity. IEEE Access. 8, 23817–23837 (2020) 2. Brass, I., Tanczer, L., Carr, M., Elsden, M., Blackstock, J.: Standardising a moving target: the development and evolution of IoT security standards (2018) 3. Saleem, J., Hammoudeh, M., Raza, U., Adebisi, B., Ande, R.: IoT standardization: challenges, perspectives and solution. In: Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, pp 1–9 (2018, June) 4. Nyikes, Z., Kovács, T.A., Tokody, D.: In situ testing of rail damages in accordance with Industry 4.0. J. Phys. Conf. Ser. (1742-6588 1742-6596) 1045, 1–6 (2018). https://doi.org/10.1088/1742-6596/1045/1/012032 5. Bhatt, S., Ragiri, P.R.: Security trends in Internet of Things: a survey. SN Appl. Sci. 3(1), 1–14 (2021)
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