Results 141 to 150 of about 1,873 (195)

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
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VPN Encrypted Traffic classification using XGBoost

International Journal of Emerging Trends in Engineering Research, 2021
Classification network traffic are becoming ever more relevant in understanding and addressing security issues inInternet applications. Virtual Private Networks (VPNs) have become one famous communication forms on the Internet.
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P2P traffic classification in encrypted tunnels

2013 19th Asia-Pacific Conference on Communications (APCC), 2013
In recent years, users have begun using encrypted tunnels to transport data in order to protect transmitted messages. However, it is very difficult for network engineers to manage the quality of network traffic in encrypted tunnels. Therefore, the issue of how to classify encrypted tunnels becomes more important and it has been studied so far. However,
null Tzong-Jye Liu, null Chi-Bin Chou, null Chuan-Mu Tseng   +2 more
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Traffic classification in an increasingly encrypted web

Communications of the ACM, 2022
Traffic classification is essential in network management for a wide range of operations. Recently, it has become increasingly challenging with the widespread adoption of encryption in the Internet, for example, as a de facto in HTTP/2 and QUIC protocols.
Iman Akbari, Mohammad A. Salahuddin, Leni Aniva, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stephane Tuffin   +7 more
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Incremental Learning for Mobile Encrypted Traffic Classification

ICC 2021 - IEEE International Conference on Communications, 2021
With the rising popularity of mobile networks and applications, network traffic classification has gradually become essential to mobile network management and cyberspace security. Existing state-of-the-art methods have achieved high accuracy in the closed-world mobile encrypted traffic classification, where the classifier only needs to process the ...
Yige Chen, Tianning Zang, Yongzheng Zhang, Yuan Zhou, Linshu Ouyang, Peng Yang   +5 more
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Classification of Encrypted QUIC Network Traffic

2021
Today, more and more organizations are setting up infrastructures to encrypt theirnetwork traffic. As a result, a modern, robust, and lightweight encryption scheme isrequired. As an example for this, QUIC, a novel transport layer encryption protocol, was developed by Google.
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Realtime Classification for Encrypted Traffic

2010
Classifying network flows by their application type is the backbone of many crucial network monitoring and controlling tasks, including billing, quality of service, security and trend analyzers. The classical “port-based” and “payload-based” approaches to traffic classification have several shortcomings.
Roni Bar - Yanai, Michael Langberg, David Peleg, Liam Roditty   +3 more
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Hybrid RBFN Based Encrypted SSH Traffic Classification

2018 5th International Conference on Signal Processing and Integrated Networks (SPIN), 2018
This paper presents a hybrid Radial Basis Function Network (RBFN) based machine learning approach for encrypted data traffic classification. We concentrate on classifying the SSH-based encrypted traffic from the non SSH traffic. The hybrid RBFN network is employed with k-means clustering and gradient descent learning technique for the binary ...
Ayush Pradhan, Sidharth Behera, Ratnakar Dash   +2 more
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A Survey on Encrypted Traffic Classification

2014
With the widespread use of encryption techniques in network applications, encrypted network traffic has recently become a great challenge for network management. Studies on encrypted traffic classification not only help to improve the network service quality, but also assist in enhancing network security.
Zigang Cao, Gang Xiong, Yong Zhao, Zhenzhen Li, Li Guo   +4 more
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Encrypted Traffic Classification Using Graph Convolutional Networks

2020
Traffic classification plays a vital role in the field of network management and network security. Because of the continuous evolution of new applications and services and the widespread use of encrypted communication technologies, it has become a difficult task.
Shuang Mo, Yifei Wang, Ding Xiao, Wenrui Wu, Shaohua Fan, Chuan Shi   +5 more
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