Results 271 to 280 of about 3,911,620 (341)

XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures

IEEE Transactions on Network and Service Management, 2021
The increasing diffusion of mobile devices has dramatically changed the network traffic landscape, with Traffic Classification (TC) surging into a fundamental role while facing new and unprecedented challenges.
Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, D. Ciuonzo, V. Persico, A. Pescapé   +5 more
semanticscholar   +1 more source

Traffic Classification: Issues and Challenges

Journal of Communications, 2013
Traffic classification has been extensively examined in recent years, as it is widely used in network management, design, security, advertising and research. In the past few years, the traffic classification techniques have been evolved along with the development of Internet protocols and applications, and many approaches have been investigated ...
null Yibo Xue, null Dawei Wang, null Luoshi Zhang   +2 more
openaire   +1 more source

Tree-RNN: Tree structural recurrent neural network for network traffic classification

Expert systems with applications, 2021
Network traffic classification plays an important role in network monitoring and network management. With the continuous development of network technology, traditional methods of traffic classification have more limitations in accuracy to deal with ...
Xinming Ren, Huaxi Gu, Wenting Wei
semanticscholar   +1 more source

Encrypted Traffic Classification

2020
With the increasing emphasis on information security by users, many encrypted traffic is being transmitted over the network. However, even if the data is encrypted, it is not enough to protect the privacy of users. There exist techniques to classify encrypted traffic.
Yuxiang Ma, Yulei Wu, Jingguo Ge
openaire   +1 more source

Study on traffic classification taxonomy for multilateral and hierarchical traffic classification

2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2012
Internet traffic has rapidly increased due to the increasing use of wireless devices and the appearance of various applications and services. With the rapid increase of Internet traffic, the need for Internet traffic classification becomes important for the effective use of network resources.
null Ji-hye Kim, null Sung-Ho Yoon, null Myung-Sup Kim   +2 more
openaire   +1 more source

MT-FlowFormer: A Semi-Supervised Flow Transformer for Encrypted Traffic Classification

Knowledge Discovery and Data Mining, 2022
With the increasing demand for the protection of personal network meta-data, encrypted networks have grown in popularity, so do the challenge of monitoring and analyzing encrypted network traffic.
Ruijie Zhao, Xianwen Deng, Zhicong Yan, Jun Ma, Zhi Xue, Yijun Wang   +5 more
semanticscholar   +1 more source

Netmamba: Efficient Network Traffic Classification Via Pre-Training Unidirectional Mamba

IEEE International Conference on Network Protocols
Network traffic classification is a crucial research area aiming to enhance service quality, streamline network management, and bolster cybersecurity. To address the growing complexity of transmission encryption techniques, various machine learning and ...
Tongze Wang, Xiaohui Xie, Wenduo Wang, Chuyi Wang, Youjian Zhao, Yong Cui   +5 more
semanticscholar   +1 more source

A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification

IEEE/ACM Transactions on Networking
Traffic classification is a critical task in network security and management. Recent research has demonstrated the effectiveness of the deep learning-based traffic classification method.
Ruijie Zhao, Mingwei Zhan, Xianwen Deng, Fangqi Li, Yanhao Wang, Yijun Wang, Guan Gui, Zhi Xue   +7 more
semanticscholar   +1 more source

Traffic identification engine: an open platform for traffic classification

IEEE Network, 2014
The availability of open source traffic classification systems designed for both experimental and operational use, can facilitate collaboration, convergence on standard definitions and procedures, and reliable evaluation of techniques. In this article, we describe Traffic Identification Engine (TIE), an open source tool for network traffic ...
Walter de Donato, PESCAPE', ANTONIO, Alberto Dainotti   +2 more
openaire   +1 more source

ATVITSC: A Novel Encrypted Traffic Classification Method Based on Deep Learning

IEEE Transactions on Information Forensics and Security
The increasing prevalence of encrypted communication on the modern internet has presented new challenges for traffic classification and network management. Traditional traffic classification methods cannot handle encrypted traffic effectively. Meanwhile,
Ya Liu, Xiao Wang, Bo Qu, Fengyu Zhao
semanticscholar   +1 more source