Analyzing anonymous activities using Interrupt-aware Anonymous User-System Detection Method (IAU-S-DM) in IoT
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Funder
The authors are thankful to the Deanship of Graduate Studies and Scientific Research at Najran University for funding this work under the Elite Funding Program grant code
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-67956-0.pdf
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4. Nie, L. et al. Intrusion detection in green Internet of Things: A deep deterministic policy gradient-based algorithm. IEEE Trans. Green Commun. Netw. 5(2), 778–788. https://doi.org/10.1109/TGCN.2021.3073714 (2021).
5. Eskandari, M., Janjua, Z. H., Vecchio, M. & Antonelli, F. Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices. IEEE Internet Things J. 7(8), 6882–6897. https://doi.org/10.1109/JIOT.2020.2970501 (2020).
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