With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …

With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …

Traffic classification has been the topic of many research efforts, but the quick evolution of
Internet services and the pervasive use of encryption makes it an open challenge …

This survey paper describes the significant literature survey of Sustainable Smart Cities
(SSC), Machine Learning (ML), Data Mining (DM), datasets, feature extraction and selection …

Traffic characterization is one of the major challenges in today's security industry. The
continuous evolution and generation of new applications and services, together with the …

The rapid-develo** Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

Network anomaly detection is an important and dynamic research area. Many network
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …

With the widespread use of encrypted data transport, network traffic encryption is becoming
a standard nowadays. This presents a challenge for traffic measurement, especially for …

The modern digitized world is mainly dependent on online services. The availability of
online systems continues to be seriously challenged by distributed denial of service (DDoS) …

Network Traffic Monitoring and Analysis (NTMA) represents a key component for network
management, especially to guarantee the correct operation of large-scale networks such as …