Hybrid Machine Learning Framework for Network Intrusion Detection in IoT-Based Environments
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5015-7_48
Reference28 articles.
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3. Bebortta S, Singh SK (2021) An adaptive machine learning-based threat detection framework for industrial communication networks. In: 2021 10th IEEE international conference on communication systems and network technologies (CSNT). IEEE, pp 527–532
4. Bebortta S, Panda M, Panda S (2020) Classification of pathological disorders in children using random forest algorithm. In: 2020 international conference on emerging trends in information technology and engineering (ic-ETITE). IEEE, pp 1–6
5. Bebortta S, Singh AK, Mohanty S, Senapati D (2020) Characterization of range for smart home sensors using Tsallis’ entropy framework. In: Advanced computing and intelligent engineering. Springer, Singapore, pp 265–276
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