A novel method for improved network traffic prediction using enhanced deep reinforcement learning algorithm

NM Balamurugan, M Adimoolam, MH Alsharif… - Sensors, 2022 - mdpi.com
Network data traffic is increasing with expanded networks for various applications, with text,
image, audio, and video for inevitable needs. Network traffic pattern identification and …

Research on network traffic prediction model based on neural network

J Fan, D Mu, Y Liu - 2019 2nd International Conference on …, 2019 - ieeexplore.ieee.org
Network traffic prediction has become an important means for network security monitoring
and security assessment. Through network traffic prediction, it can detect network failures …

Network prediction with traffic gradient classification using convolutional neural networks

T Ko, SM Raza, DT Binh, M Kim… - 2020 14th International …, 2020 - ieeexplore.ieee.org
Current TCP/IP network infrastructures and management systems are facing a tough time in
handling the unusual increase in network traffic due to the surge of typical real-time …

Efficient traffic classification using hybrid deep learning

F Sarhangian, R Kashef… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Network traffic classification provides an essential contribution in network administration
functions and network management such as QoS, security, and billing. Those functions need …

A review of network traffic analysis and prediction techniques

M Joshi, TH Hadi - arXiv preprint arXiv:1507.05722, 2015 - arxiv.org
Analysis and prediction of network traffic has applications in wide comprehensive set of
areas and has newly attracted significant number of studies. Different kinds of experiments …

An intelligent network traffic prediction method based on Butterworth filter and CNN–LSTM

X Hu, W Liu, H Huo - Computer Networks, 2024 - Elsevier
Accurate and real-time network traffic prediction is of paramount importance in the fields of
network management, performance optimization, and fault diagnosis. It provides strong …

Encrypted network traffic classification using deep learning method

SB Banihashemi, E Akhtarkavan - 2022 8th International …, 2022 - ieeexplore.ieee.org
With growing use of internet and online applications, network traffic classification could be
much more useful nowadays, because managing network services and quality assurance …

AGG: A Novel Intelligent Network Traffic Prediction Method Based on Joint Attention and GCN‐GRU

H Shi, C Pan, L Yang, X Gu - Security and Communication …, 2021 - Wiley Online Library
Timely and accurate network traffic prediction is a necessary means to realize network
intelligent management and control. However, this work is still challenging considering the …

Network traffic prediction using long short-term memory

S Nihale, S Sharma, L Parashar… - … on Electronics and …, 2020 - ieeexplore.ieee.org
Computer network traffic control is a torrid research topic nowadays, as this task helps in
various applications like anomaly detection, congestion control and bandwidth control …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer Communications, 2021 - Elsevier
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …