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Optimizing IoT Intrusion Detection Using Balanced Class Distribution, Feature Selection, and Ensemble Machine Learning Techniques

Internet of Things (IoT) devices are leading to advancements in innovation, efficiency, and sustainability across various industries. However, as the number of connected IoT devices increases, the risk of intrusion becomes a major concern in IoT security. To prevent intrusions, it is crucial to impl...

Deskribapen osoa

Gorde:
Egile Nagusiak: Muhammad Bisri Musthafa, Samsul Huda, Yuta Kodera, Md. Arshad Ali, Shunsuke Araki, Jedidah Mwaura, Yasuyuki Nogami
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2024-07-01
Saila:Sensors
Gaiak:
intrusion detection system
feature selection
class balancing
ensemble technique
stacked long short-term memory
Sarrera elektronikoa:https://www.mdpi.com/1424-8220/24/13/4293
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