Deep learning and machine learning show effectiveness in identifying and addressing cloud
security threats. Despite the large number of articles published in this field, there remains a …

Cloud computing is considerably investigable and adoptable in both industry and academia,
and Software Defined Networking (SDN) has been applied in cloud computing. Although …

With recent advances in the Internet of Things (IoT) technology, more people can have
instant and easy access to the IoT network of vast and diverse interconnected devices (eg …

Intrusion Detection System (IDS) in the cloud Computing (CC) environment has received
paramount interest over the last few years. Among the latest approaches, Deep Learning …

As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …

Marine sensors are highly vulnerable to illegal access network attacks. Moreover, the
nation's meteorological and hydrological information is at ever-increasing risk, which calls …

The role of semi-supervised network intrusion detection systems is becoming increasingly
important in the ever-changing digital landscape. Despite the boom in commercial and …

The rise of Vehicular Ad-hoc Networks (VANETs) has led to the growing significance in
intelligent transportation systems. This research suggests a deep learning model for …

Network Intrusion Detection Systems (NIDSs) have emerged as a frontline defense against
potential attacks in wireless Internet of Things (IoT) networks. However, existing machine …

The decentralized and distributed architecture of cloud computing promotes adoption and
growth in various societal domains, including education, government, information …