Abstract The application of Machine Learning (ML) techniques to the well-known intrusion
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …

Supervised learning and pattern recognition is a crucial area of research in information
retrieval, knowledge engineering, image processing, medical imaging, and intrusion …

With the continuous emergence of various network attacks, it is becoming more and more
important to ensure the security of the network. Intrusion detection, as one of the important …

Blockchain technology is rapidly changing the transaction behavior and efficiency of
businesses in recent years. Data privacy and system reliability are critical issues that is …

IoT devices have some special characteristics, such as mobility, limited performance, and
distributed deployment, which makes it difficult for traditional centralized access control …

The massive redundant data storage and communication in network 4.0 environments have
issues of low integrity, high cost, and easy tampering. To address these issues, in this article …

The rapid proliferation of the Internet of Things (IoT) systems, has enabled transforming
urban areas into smart cities. Smart cities' paradigm has resulted in improved quality of life …

A fundamental layer of smart cities, the Internet of Vehicles (IoV) can significantly improve
transportation efficiency, reduce energy consumption, and traffic accidents. However …

In today's Industrial Internet of Things (IIoT) environment, where different systems interact
with the physical world, the state proposed by the Industry 4.0 standards can lead to …

With the expansion of scale, the Internet of Things (IoT) suffers more and more security
threats, and vulnerability and sensitivity to attacks are also increasing. As a distributed and …