This study investigates the effectiveness of six prominent machine learning models—
random forest, decision trees, K-nearest neighbor, logistic regression, support vector …

This work introduces an intrusion detection system (IDS) tailored for industrial internet of
things (IIoT) environments based on an optimized convolutional neural network (CNN) …

VANET is an Ad-hoc vehicular network that refers to a group of vehicles that are connected
to each other through a wireless network. It is vulnerable to various network attacks due to its …

As the prevalence of sophisticated network attacks continues to rise, enhancing
conventional intrusion detection systems (IDS) methods presents a significant challenge …

This study investigates the effectiveness of deep learning models, namely Generative
Adversarial Networks (GANs), Convolutional Neural Networks with three layers (CNN-3L) …

The frequent intrusion of anomalous traffic has consistently remained a critical concern in
the domain of network security. Software-Defined Networking (SDN) is an innovative …