The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …

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 …

The escalated growth of the Internet of Things (IoT) has started to reform and reshape our
lives. The deployment of a large number of objects adhered to the internet has unlocked the …

This article proposes a dual-network-based feature extractor, perceptive capsule network
(PCapN), for multivariate time series classification (MTSC), including a local feature network …

Because of the population increasing so high, and traffic density remaining the same, traffic
prediction has become a great challenge today. Creating a higher degree of communication …

The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …

Accurate and fine-grained traffic state prediction has always been an important research
field. For long-term traffic flow prediction, the high-dimensional and coupled traffic feature …

Smart city networks involve many applications that impose specific Quality of Service (QoS)
requirements, thus representing a challenging scenario for network management. Solutions …

Internet of Things (IoT) refers to a wide variety of embedded devices connected to the
Internet, enabling them to transmit and share information in smart environments with each …

Traffic classification is essential in network management for operations ranging from
capacity planning, performance monitoring, volumetry, and resource provisioning, to …