Intelligent hybrid model to enhance time series models for predicting network traffic

THH Aldhyani, M Alrasheedi, AA Alqarni… - IEEE …, 2020 - ieeexplore.ieee.org
Network traffic analysis and predictions have become vital for monitoring networks. Network
prediction is the process of capturing network traffic and examining it deeply to decide what …

[Retracted] An Efficient and Reliable Routing Method for Hybrid Mobile Ad Hoc Networks Using Deep Reinforcement Learning

MMA Alkadhmi, ON Uçan, M Ilyas - Applied Bionics and …, 2020 - Wiley Online Library
With the reliance of humans on mobile smart devices that have wireless communication,
modules have significantly increased in recent years. Using these devices to communicate …

[PDF][PDF] Using spline-extrapolation in the research of self-similar traffic characteristics

I Strelkovskaya, I Solovskaya - Journal of Electrical Engineering, 2019 - sciendo.com
The problem of predicting self-similar traffic is considered, the solution of which modeling of
self-similar traffic was performed using the Simulink software package in MATLAB …

[PDF][PDF] Spline-Extrapolation Method in Traffic Forecasting in 5G Networks

I Strelkovskaya, I Solovskaya… - Journal of …, 2019 - bibliotekanauki.pl
This paper considers the problem of predicting self-similar traffic with a significant number of
pulsations and the property of long-term dependence, using various spline functions. The …

An adapting soft computing model for intrusion detection system

HIH Alsaadi, RM ALmuttari, ON Ucan… - Computational …, 2022 - Wiley Online Library
Network security in smart cities has become a key problem in the rapid development of
computer networks over the past few years. Intrusion detection systems play a fundamental …

Integration of time series models with soft clustering to enhance network traffic forecasting

THH Aldhyani, MR Joshi - 2016 Second International …, 2016 - ieeexplore.ieee.org
The network traffic forecasting is of significant interest in many domains such as bandwidth
allocation, congestion control and network management. Hence, forecasting of network …

Forecasting 5G network multimedia traffic characteristics

S Irina, S Irina, M Anastasiya - 2020 IEEE 15th International …, 2020 - ieeexplore.ieee.org
The task of forecasting multimedia data traffic with an important amount of pulsations and the
long-term dependence is considered. The results of forecasting multimedia data traffic …

A LSTM based campus network traffic prediction system

Y Geng, S Li - 2019 IEEE 10th International Conference on …, 2019 - ieeexplore.ieee.org
Accurate and real-time campus network traffic prediction is very important in network
management. Aiming at security analysis of network traffic and prediction problems caused …

[PDF][PDF] Bandwidth utilization prediction in LAN network using time series modeling

AT Namel, MA Sahib, SM Hasan - Iraqi J. Comput. Commun. Control Syst …, 2019 - iasj.net
monitoring the behavior of computer networks is essential for problem identification and
optimal management. Part of this behavior to be monitored is the utilization of the network …

Clustering to enhance network traffic forecasting

THH Aldhyani, MR Joshi - … : Proceedings of ICT4SD 2016, Volume 1, 2018 - Springer
Network traffic forecasting has become more and more vital and important in present days
for monitoring the network traffic. The number of users that are connecting to network …