This project focuses on a Hybrid Metaheuristic approach for Feature Selection for IoT based Cybersecurity Intrusion Detection Flow of the project:
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Dataset Selection.
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Preprocessing.
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Statistical Feature Selection.
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Metaheuristic Feature Selection.
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Deep Learning Classification.
Dataset: IoT ID 20 (Find it here: https://sites.google.com/view/iot-network-intrusion-dataset/home).
Preprocessing: Standard machine learning preprocessing incl. SMOTE, Sampling, Manual Feature Engineering.
Statistical Feature Selection: Pearson Correlation Coefficient.
Metaheuristic Feature Selection: Improved Salp Swarm Algorithm.
Deep Learning Classifiers: DNN,CNN,RNN,GRU,AutoEncoder.