Improving ML/DL Solutions for Anomaly Detection in IoT Environments
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57942-4_20
Reference34 articles.
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3. Abdullahi, M., et al.: Detecting cybersecurity attacks in internet of things using artificial intelligence methods: a systematic literature review. Electronics 11(2) (2022). https://doi.org/10.3390/electronics11020198
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5. Al-amri, R., Murugesan, R.K., Man, M., Abdulateef, A.F., Al-Sharafi, M.A., Alkahtani, A.A.: A review of machine learning and deep learning techniques for anomaly detection in IoT data. Appl. Sci. 11(12) (2021). https://doi.org/10.3390/app11125320
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