In recent years, the appearance of the broad learning system (BLS) is poised to
revolutionize conventional artificial intelligence methods. It represents a step toward building …

Recently, due to the rapid development and remarkable result of deep learning (DL) and
machine learning (ML) approaches in various domains for several long-standing artificial …

The exponential growth of computer networks and the adoption of new network-based
technologies have made computer security an important challenge. With the emergence of …

Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using
efficient and effective machine learning techniques to detect network anomalies and …

The evolution of the internet of things as a promising and modern technology has facilitated
daily life. Its emergence was accompanied by challenges represented by its frequent …

High data rate requirements in recent years have resulted in the massive expansion of
communication systems, network size and the amount of data generated and processed …

All organizations, be they businesses, governments, infrastructure or utility providers,
depend on the availability and functioning of their computers, computer networks and data …

As the occurrence of Denial of Service and Distributed Denial of Service (DoS/DDoS)
attacks increases, the demand for effective defense mechanisms increases. Recognition of …

The wide adoption of encrypted traffic brings challenges to network management. Previous
studies propose different approaches to tackle this problem. However, most of them still …

Network intrusion detection system plays a crucial role in protecting the integrity and
availability of sensitive assets, where the detected traffic data contain a large amount of time …