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Fog Computing IDS for IoT Security by ExpForResearch expforresearch is a document available to read on EtoBox.

The document presents a novel fog computing-based intrusion detection system (IDS) designed to protect IoT networks from various cyber attacks. This IDS utilizes a combination of Variational AutoEncoder (VAE) and multilayer perceptron (MLP) to achieve high detection rates (99.98%) and low false alarm rates (less than 0.01%). The proposed architecture effectively addresses the challenges of latency and resource limitations in IoT environments by performing anomaly detection at the fog layer and classifying a

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ExpForResearch expforresearch

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EN