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

• 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

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...