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An optimal secure defense mechanism for Distributed Denial of Service in Internet of Things network

What is it about?

An enhanced ResNet architecture for feature extraction is proposed which extracts more deep features from given traffic traces. An improved quantum query optimization (IQQO) algorithm for is used feature selection to selects optimal best among multiple features which reduces the data dimensionality issues.

Why is it important?

The selected feature extraction has given to the detection and classification module to classify the traffic traces are affected by intrusion or not. A fast and accurate intrusion detection mechanism, named as hybrid deep learning technique which combines convolutional neural network (CNN) and diagonal XG boosting (CNN-DigXG) for the fast and accurate intrusion detection in IoT network is implemented.

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The following have contributed to this page:
J S. Prasath
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