IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm

Author:

A Muthukrishnan,S Kamalesh

Publisher

Elsevier BV

Reference43 articles.

1. Discover botnets in IoT sensor networks: A lightweight deep learning framework with hybrid self-organizing maps;Khan;Microprocess. Microsyst.,2023

2. A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things;Xu;Soft. comput.,2023

3. Deep learning-enabled anomaly detection for IoT systems;Abusitta;Internet of Things,2023

4. A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system;Gaurav;Enterp. Inf. Syst.,2023

5. Hybrid dual-channel convolution neural network (DCCNN) with spider monkey optimization (SMO) for cyber security threats detection in internet of things;Vijayalakshmi;Measurement: Sensors,2023

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