Using Feature Selection Enhancement to Evaluate Attack Detection in the Internet of Things Environment
K Harahsheh, R Al-Naimat, CH Chen - Electronics, 2024 - mdpi.com
The rapid evolution of technology has given rise to a connected world where billions of
devices interact seamlessly, forming what is known as the Internet of Things (IoT). While the …
devices interact seamlessly, forming what is known as the Internet of Things (IoT). While the …
RSL: Representative Sample Learning
Y Qing, G Wan, L Hong, L Huang… - 2023 20th International …, 2023 - ieeexplore.ieee.org
With the development of Industrial Internet of Things (IIoT) technology, an increasing number
of ICS (Industrial Control System) devices are connecting to the company's traditional …
of ICS (Industrial Control System) devices are connecting to the company's traditional …
Advancing IoT Security with a Hybrid Deep Learning Model for Network Intrusion Detection
R Norbu, A Kumar, S Ramanathan… - … Conference on Energy …, 2023 - ieeexplore.ieee.org
Intrusion detection systems play a pivotal role in safeguarding computer networks from a
plethora of cyber threats. Traditional methods have demonstrated effectiveness, but the …
plethora of cyber threats. Traditional methods have demonstrated effectiveness, but the …
Feature Selection Enhancement to Evaluate Attack Detection in the Internet of Things Environment
K Harahsheh, R Al-Naimat, CH Chen - 2024 - preprints.org
The rapid evolution of technology has given rise to a connected world, where billions of
devices interact seamlessly, forming what is known as the Internet of Things (IoT). While IoT …
devices interact seamlessly, forming what is known as the Internet of Things (IoT). While IoT …