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 …

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 …

This comprehensive study examines cutting-edge strategies for combating Distributed
Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent …

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 …

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

In the field of anomaly detection, well-known techniques and state-of-the-art models often
face challenges when interpreting the latent space, which hinders their behavioral …

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 …

The Industrial Internet of Things (IIoT) deals with vast amounts of data that must be
safeguarded against tampering or theft. Identifying rare attacks and addressing data …

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 …

Industrial multivariate time series (MTS) is a critical view of the industrial field for people to
understand the state of machines. However, due to data collection difficulty and privacy …