Enhanced Abnormality Detection via PSO-Driven Adaptive Ensemble Weighting for Energy AIoT Device Security

The present era is characterized by the interconnection, communication, connectivity, and data exchange of Internet of Things (IoT) devices. However, current systems often neglect to incorporate security protocols for IoT devices in the energy sector, the Internet of Medical Things, smart homes, and...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.138483-138500
Hauptverfasser:	Waqas Khan, Qazi, Nawaz Khan, Anam, Ahmad, Rashid, Rizwan, Atif, Ibrahim, Muhammad, Kim, Do Hyeun
Format:	Artikel
Sprache:	eng
Schlagworte:	abnormal detection Accuracy Artificial neural networks Botnet botnet attack Chatbots Cybersecurity Data exchange Datasets Devices Ensemble learning Feature extraction Feature selection Information retrieval Internet of medical things Internet of Things Intrusion detection systems Learning systems Machine learning Malware MITM attack Particle swarm optimization Resampling Residential energy Smart buildings Support vector machines TabNet
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