Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …

Blockchain technology can be extensively applied in diverse services, including online
micro-payments, supply chain tracking, digital forensics, health-care record sharing, and …

With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …

Summary Summary Software‐Defined Networking (SDN) is an emerging network paradigm
that has gained significant traction from many researchers to address the requirement of …

Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …

Cyber-security risks for Internet of Things (IoT) devices sourced from a diversity of vendors
and deployed in large numbers, are growing rapidly. Therefore, management of these …

Exploitable vulnerabilities in software have attracted tremendous attention in recent years
because of their potentially high severity impact on computer security and information safety …

The proliferation of mobile devices over recent years has led to a dramatic increase in
mobile traffic. Demand for enabling accurate mobile app identification is coming as it is an …

Traffic classification is widely used in various network functions such as software-defined
networking and network intrusion detection systems. Many traffic classification methods …

The classification of the urban traffic state and its application is an important part of
intelligent transportation systems (ITS), which can not only help traffic managers grasp the …