A new deep-learning with swarm based feature selection for intelligent intrusion detection for the Internet of things

Author:

Anushiya R.,Lavanya V.S.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference29 articles.

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2. Hybrid Grasshopper Whale Optimization Algorithm Based on Faster Recurrent Convolutional Neural Network for Intrusion Detection System in Internet of Things;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

3. Comprehensive Survey on AI-Based Technologies for Enhancing IoT Privacy and Security: Trends, Challenges, and Solutions;HUM-CENT COMPUT INFO;2023

4. Insights into the Fusion Correction Algorithm for On-Board NOx Sensor Measurement Results from Heavy-Duty Diesel Vehicles;Energies;2023-08-21

5. Critical Feature Selection (CFS) Techniques for Early DDoS Attack Detection in the Internet of Things Environment;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

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