Traffic analysis is a compound of strategies intended to find relationships, patterns,
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …

In recent years, the Internet of Things (IoT) has emerged as a new opportunity. Thus, all
devices such as smartphones, transportation facilities, public services, and home appliances …

Despite highly accurate intrusion detection schemes based on machine learning (ML)
reported in the literature, changes in network traffic behavior quickly yield low accuracy …

Traffic classification has been widely used in network management, service measurements,
network design, security monitoring and advertising. Software defined networks (SDN) is an …

Over the last years, there has been a significant increase in the number of services in mobile
networks. This trend has forced operators to change their network management processes …

Machine learning-based network traffic categorization has become a crucial field of study
because of the rising intricacy of Internet services and the expanding usage of en-cryption. A …

YouTube Live is one of the most popular services on the Internet, enabling easy streaming
of a live video with the acceptable video quality. Thus, understanding user perception of this …

To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …

The study of network traffic identification is not only important for the network management,
but also crucial to monitor network security issues. Currently, traffic classification tasks …

With recent advancements in Industrial Internet of Things (IIoT), the stream data generated in
IIoT applications presents new characteristics: huge amount of data, ultrahigh computational …