An Ensemble-Based Machine Learning-Envisioned Intrusion Detection in Industry 5.0-Driven Healthcare Applications
With the emergence of advanced technology and biotechnology, medical institutions like
hospitals are increasingly relying on smart devices to create an efficient ecosystem. The …
hospitals are increasingly relying on smart devices to create an efficient ecosystem. The …
Intrusion detection in cluster‐based wireless sensor networks: Current issues, opportunities and future research directions
Wireless sensor network (WSN) cluster‐based architecture is a system designed to control
and monitor specific events or phenomena remotely, and one of the important concerns that …
and monitor specific events or phenomena remotely, and one of the important concerns that …
Securing Fog-enabled IoT: federated learning and generative adversarial networks for intrusion detection
T Lei - Telecommunication Systems, 2025 - Springer
Intrusion detection in Fog-enabled Internet of Things (IoT) environments presents unique
challenges due to the distributed and heterogeneous nature of data sources. Traditional …
challenges due to the distributed and heterogeneous nature of data sources. Traditional …
An effective ensemble classification framework for intrusion detection system using LSTM autoencoder
G Ketepalli, P Bulla - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
In intrusion detection, the curse of dimensionality and the trade-off between maintaining a
low false alarm rate and achieving a high detection rate are significant challenges. This …
low false alarm rate and achieving a high detection rate are significant challenges. This …