Voting Classification Model for Network Traffic Classification
Abstract: Network traffic classification has produced incredible concentration in the academic world alongside the industrial domain. A few procedures have been recommended and created in the course of the most recent twenty years. This segment makes a discussion on various classification strategies and partitions them into four classes dependent on ...
Jasmeeet Kour, Prof. Lalit Sen Sharma
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Network traffic classification model based on attention mechanism and spatiotemporal features
Traffic classification is widely used in network security and network management. Early studies have mainly focused on mapping network traffic to different unencrypted applications, but little research has been done on network traffic classification of ...
Feifei Hu +5 more
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Generative Adversarial Classification Network with Application to Network Traffic Classification
Large datasets in machine learning often contain missing data, which necessitates the imputation of missing data values. In this work, we are motivated by network traffic classification, where traditional data imputation methods do not perform well.
Ghanavi, Rozhina +2 more
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Research on network traffic classification based on machine learning and deep learning
With the continuous development of Internet technology and the continuous expansion of network scale, there are many different types of applications , and various new applications have endlessly emerged.In order to ensure the quality of service (QoS) and
Yue GU, Dan LI, Kaihui GAO
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Internet-of-Things (IoT) devices are massively interconnected, which generates a massive amount of network traffic. The concept of edge computing brings a new paradigm to monitor and manage network traffic at the network’s edge.
Bushra Mohammed +8 more
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Machine Learning Models for Traffic Classification in Electromagnetic Nano-Networks
The number of nano-sensors connected to wireless electromagnetic nano-network generates different traffic volumes that have increased dramatically, enabling various applications of the Internet of nano-things.
Akram Galal, Xavier Hesselbach
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TCGCL: Complex Network Traffic Classification Algorithm Based on Graph Contrastive Learning [PDF]
Network traffic classification technology plays a crucial role in the field of network security. Modern network architecture is highly complex, and various abnormal situations will inevitably be encountered during network traffic transmission.
HU Zhongze, QIN Hongchao, LI Zhenjun, LI Yanhui, LI Ronghua, WANG Guoren
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A Comparative Study of Traffic Classification Techniques for Smart City Networks
Smart city networks involve many applications that impose specific Quality of Service (QoS) requirements, thus representing a challenging scenario for network management.
Razan M. AlZoman, Mohammed J. F. Alenazi
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Payload-Based Traffic Classification Using Multi-Layer LSTM in Software Defined Networks
Recently, with the advent of various Internet of Things (IoT) applications, a massive amount of network traffic is being generated. A network operator must provide different quality of service, according to the service provided by each application ...
Hyun-Kyo Lim +4 more
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Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models
Network traffic classification aims to recognize different application or traffic types by analyzing received data packets. This paper presents a neural network model with deep and parallel network-in-network (NIN) structures for classifying encrypted ...
Zhiyong Bu +4 more
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