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Traffic classification using probabilistic neural networks
2010 Sixth International Conference on Natural Computation, 2010Traffic classification, a branch of passive network measurement, becomes more and more important for network management. As traditional traffic classification techniques like port-based and payload-based techniques become ineffective for complicated internet applications which use dynamic port number and encryption techniques to avoid detection ...
Runyuan Sun +5 more
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Classification of Encrypted QUIC Network Traffic
2021Today, 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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P2P traffic classification for residential network
2015 International Computer Science and Engineering Conference (ICSEC), 2015Excessive bandwidth consuming by peer-to-peer (P2P) applications is one of serious problems in residential networks such as in dorms, apartments and even Small and Medium-sized Enterprises (SMEs) networks which have a limited bandwidth. P2P file sharing and P2P streaming applications usually are the cause of this problem.
Channary Thay +2 more
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HMM profiles for network traffic classification
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security, 2004We present techniques for building HMM profiles for network applications using only the packet-level information that remains intact and observable after encryption, namely, packet size and arrival time. Using less information than previously thought possible, we demonstrate classification accuracy close to that of other recent techniques, and show ...
Charles Wright +2 more
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Network Traffic Classification Techniques-A Review
2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), 2018With the growth in the amount of devices associated with the internet; the data that is getting circulated over the internet is also increasing. It is an undeniable fact that this data has significant presence for individuals as well as for organizations.
Yoga Durgadevi Goli, R Ambika
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Towards self adaptive network traffic classification
Computer Communications, 2015Abstract A critical aspect of network management from an operator’s perspective is the ability to understand or classify all traffic that traverses the network. The failure of port based traffic classification technique triggered an interest in discovering signatures based on packet content.
Alok Tongaonkar +4 more
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Network Traffic Classification using Deep Neural Networks
2023 International Conference on Frontiers of Information Technology (FIT), 2023Muhammad Shaheem Raza +3 more
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Automated Classification of Network Traffic Anomalies
2009Network traffic anomalies detection and characterization has been a hot topic of research for many years. Although the field is very advanced in the detection of network traffic anomalies, accurate automated classification is still a very challenging and unmet problem.
Guilherme Fernandes, Philippe Owezarski
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Network Traffic Classification using Machine Learning
2021Network traffic classification (NTC) is a technique that allows IT operators to identify the type of data flowing in the network and mapping them to applications generating them. This knowledge is important for many reasons including network security monitoring, characterization of the network applications behavior, anomaly detection, performing ...
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Network Traffic Classification Techniques: A Survey
2023 Seventh International Conference on Image Information Processing (ICIIP), 2023Krishan Kumar, Mamta Punia, null Vandana
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