Cyber Attack Detection in IoT Using Enhanced Stream Classification Algorithm
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67447-1_29
Reference20 articles.
1. Elnakib, O., Shaaban, E., Mahmoud, M., Emara, K.: EIDM: deep learning model for IoT intrusion detection systems. J. Supercomput. 1–21 (2023)
2. Ferreira, R.S., Zimbrao, G., Alvim, L.G.: Amanda: semi-supervised density-based adaptive model for non-stationary data with extreme verification latency. Inf. Sci. 488, 219–237 (2019)
3. Idrees, M.M., Stahl, F., Badii, A.: Adaptive learning with extreme verification latency in non-stationary environments. IEEE Access 10, 127345–127364 (2022)
4. Kumar, V.: Seamless wireless communication platform for internet of things applications. IEEE Wirel. Commun. 30(6), 102–110 (2023). https://doi.org/10.1109/MWC.006.2200097
5. Li, F., Ye, F.: Adaptive and lightweight network traffic classification for edge devices. IEEE Trans. Green Commun. Netw. 6(4), 2003–2014 (2022)
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