Abstract The Internet of Things (IoT) has been growing over the past few years due to its
flexibility and ease of use in real-time applications. The IoT's foremost task is ensuring that …

Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …

Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …

Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …

The emergence of the Internet of Things (IoT) concept as a new direction of technological
development raises new problems such as valid and timely identification of such devices …

Abstract Machine Learning (ML) plays very significant role in the Internet of Things (IoT)
cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms …

Intrusion detection is an important technique that can provide solid protection for the network
equipment against the security attacks. However, the attacks are usually unbalanced in …

For IoT security to function properly, it is necessary to identify anomalies and suspicious
activities in the Internet of things (IoT) network in order to keep an eye on things and stop …

Under horizontal federated learning (HFL) in the Internet of Things (IoT) scenarios, different
user data sets have significant similarities on the feature spaces, the final goal is to build a …

In recent years, evolutionary algorithms have shown great advantages in the field of feature
selection because of their simplicity and potential global search capability. However, most of …