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

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

Humanity can benefit from the Internet of Things (IoT) paradigm in many different ways. IoT devices are nonetheless susceptible to different cyber-attacks launched by the attacker owing to their constrained resources. Using MLTs (Machine Learning Techniques) in IDSs (Intrusion Detection Systems) net...

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Bibliographic Details
Main Authors: R. Anushiya, M.C.A., M.Phil., V.S. Lavanya, M.Sc(IT), M.C.A., M.Phil., Ph.D.
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Measurement: Sensors
Subjects:
Internet of things
Hyperparameter optimization
Genetic algorithm
Feature selection
Assimilated artificial fish swarm optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917423000363

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http://www.sciencedirect.com/science/article/pii/S2665917423000363

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