Effective bandwidth prediction in the fifth-generation (5G) cellular networks is essential for
bandwidth-consuming applications, such as virtual reality and holographic video streaming …

Abstract Network Demand Prediction is of great importance to network planning and
dynamically allocating network resources based on the predicted demand, this can be very …

This work proposes a distributed denial‐of‐service (DDoS) inference and forecasting model
that aims at providing insights to organizations, security operators, and emergency response …

Accurate and efficient resource utilization predictions are of vital importance for the future
generation of mobile wireless networks. By anticipating network resource demand, the …

Network traffic prediction is critical in wireless network management by allowing a good
estimate of the traffic trend, which is also an important approach for detecting traffic …

In this paper we have applied the adaptive neuro-fuzzy inference system (ANFIS) which is
realized by an appropriate combination of fuzzy systems and neural networks for forecasting …

The ability to forecast future levels of network traffic is very important to network
management and planning in enterprise, cloud, data center and WAN networks. A good …

Available bandwidth (ABW) estimation is useful for various applications such as network
management, traffic engineering, and rate-based multimedia streaming. Most of the ABW …

In 6G communication, many state-of-the-art ma-chine learning algorithms are going to be
implemented to enhance the performances, including the latency property. In this paper, we …

Accepted: 7 June 2022 Network intrusion detection is a significant issue faced by the
Information technology industry. Hacker's attacks set of techniques cause confusion network …