Developing an Efficient Feature Engineering and Machine Learning Model for Detecting IoT-Botnet Cyber Attacks

Research article (IEEE Access, 2021) · cited 94× · AI/ML
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Developing an Efficient Feature Engineering and Machine Learning Model for Detecting IoT-Botnet Cyber Attacks

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Developing an Efficient Feature Engineering and Machine Learning Model for Detecting IoT-Botnet Cyber Attacks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Developing an Efficient Feature Engineering and Machine Learning Model for Detecting IoT-Botnet Cyber Attacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/developing-an-efficient-feature-engineering-and-machine-learning-model-for-detecting-iot-botnet-cyber-attacks
MLA “Developing an Efficient Feature Engineering and Machine Learning Model for Detecting IoT-Botnet Cyber Attacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/developing-an-efficient-feature-engineering-and-machine-learning-model-for-detecting-iot-botnet-cyber-attacks.
BibTeX @misc{4ortxyz_developing-an-efficient-feature-engineering-and-machine-learning-model-for-detecting-iot-botnet-cyber-attacks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Developing an Efficient Feature Engineering and Machine Learning Model for Detecting IoT-Botnet Cyber Attacks}}, year = {2026}, url = {https://4ort.xyz/entity/developing-an-efficient-feature-engineering-and-machine-learning-model-for-detecting-iot-botnet-cyber-attacks}, note = {Accessed: 2026-05-24}}
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