Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities

The emergence of smart cities is an example of how new technologies, such as the Internet of Things (IoT), have facilitated the creation of extensive interconnected and intelligent ecosystems. The widespread deployment of IoT devices has enabled the provision of constant environmental feedback, ther...

Full description

Saved in:

Bibliographic Details
Published in:	Applied soft computing Vol. 155; p. 111434
Main Authors:	Saheed, Yakub Kayode, Abdulganiyu, Oluwadamilare Harazeem, Tchakoucht, Taha Ait
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2024
Subjects:	BoT-IoT Class imbalance Edge computing Focal loss function Genetic algorithm Internet of things Intrusion detection system Long short-term memory Modified genetic algorithm N-BaIoT UNSW-NB15 Internet of things BoT-IoT Intrusion detection system Genetic algorithm Modified genetic algorithm Class imbalance UNSW-NB15 Focal loss function Long short-term memory Edge computing N-BaIoT
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!