The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

Security and forensics represent two key components for network management, especially
to guarantee the trusted operation of massive access networks such as the Internet of Things …

In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …

As an important technology to ensure data security, consistency, traceability, etc., blockchain
has been increasingly used in Internet of Things (IoT) applications. The integration of …

Federated learning (FL) has been widely adopted to train machine learning models over
massive data in edge computing. However, machine learning faces critical challenges, eg …

With the continuous growth in the amount of data generated in the edge-cloud environment,
security risks in traditional centralized data management platforms have been concerned …

Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …

Blockchain and deep reinforcement learning (DRL) are two separate transaction systems
committed to the credibility and usefulness of system functionality. There is rapid growth …

Edge caching has been regarded as a promising technique for low-latency, high-rate data
delivery in future networks, and there is an increasing interest to leverage Machine Learning …

In recent years, the Industrial Internet of Things (IIoT) came into being. IIoT connects
sensors, industrial equipment, products, and staff in the factory, enabling context-awareness …