Detecting and Preventing DoS Attacks Within IoT Environment Using AWS IoT Core
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66044-3_5
Reference18 articles.
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2. Gururaj, H.L., Soundarya, B.C., Janhavi, V., Lakshmi, H., Prassan Kumar, M.J.: Analysis of cyber security attacks using kali Linux. In: IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022. Institute of Electrical and Electronics Engineers Inc. (2022). https://doi.org/10.1109/ICDCECE53908.2022.9793164
3. Kantimahanthi, S., Prasad, J.V.D., Chanamolu, S., Kommaraju, K.: Machine learning approaches in cyber attack detection and characterization in IoT enabled cyber-physical systems. In: 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), pp. 136–142 (2023). https://doi.org/10.1109/IDCIoT56793.2023.10053545
4. Lu, K.-D., Wu, Z.-G., Huang, T.: Differential evolution-based three stage dynamic cyber-attack of cyber-physical power systems. IEEE/ASME Trans. Mechatron. 28(2), 1137–1148 (2023). https://doi.org/10.1109/TMECH.2022.3214314
5. Potrino, G., de Rango, F., Santamaria, A.F.: Modeling and evaluation of a new IoT security system for mitigating DoS attacks to the MQTT broker. In: 2019 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6 (2019). https://doi.org/10.1109/WCNC.2019.8885553
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