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1. IoT suffers from issues such as reliability, security, privacy and performance due to limited computations in terms of storage and processing power.

2. Fog computing with pervasive and cost-effective services is capable of providing a promising technology to tackle the low-latency, considerable computation resources and geographical distribution required by IoT devices.

3. A lightweight intrusion detection architecture that operates in the fog-computing layer is proposed, which combines variational AutoEncoder (VAE) with a multi-layer perceptron (MLP) algorithm for binary and multiclass classification to improve the detection rate of a wide range of attacks.

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