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Network Traffic Classification Using WiFi Sensing

2021
With the ubiquity of WiFi-enabled devices, WiFi Channel State Information (CSI) based sensing of the physical environment has been researched broadly, and for network management and monitoring, advanced measures for Network Traffic Classification (NTC) have been called.
Junye Li   +2 more
openaire   +1 more source

Network Traffic Classification Using Deep Learning

International Journal on Artificial Intelligence Tools, 2020
The large amount of network traffic generated by Internet applications brings great challenges to Internet security. In order to facilitate network management and realize automatic classification of network traffic, this paper proposes a network traffic classification model NTCNET based on CNNs.
Lei Chen, Jian Liu, Ming Xian
openaire   +1 more source

Network traffic classification via neural networks

2017
The importance of network traffic classification has grown over the last decade. Coupled with advances in software and theory, the range of classification techniques has also increased. Network operators can predict demands in future traffic to high accuracy and better identify anomalous behavior.
Ang Kun Joo Michael   +3 more
openaire   +1 more source

Traffic Classification in Mobile IP Network

Proceedings of the 4th International Conference on Ubiquitous Information Technologies & Applications, 2009
Traffic classification is an essential task for network management. Thus many researchers have paid attention to initial sub-flow features based classifiers for achieving online traffic classification. However, the existing classifiers cannot classify traffic effectively in mobile IP network, because they cannot always capture the initial sub-flow when
Akihiro Satoh   +5 more
openaire   +1 more source

Early Classification of Network Traffic through Multi-classification

2011
In thiswork we present and evaluate different automated combination techniques for traffic classification. We consider six intelligent combination algorithms applied to both traditional and more recent traffic classification techniques using either packet content or statistical properties of flows.
A. Dainotti   +2 more
openaire   +2 more sources

Network Traffic Classification Using Correlation Information

IEEE Transactions on Parallel and Distributed Systems, 2013
Traffic classification has wide applications in network management, from security monitoring to quality of service measurements. Recent research tends to apply machine learning techniques to flow statistical feature based classification methods. The nearest neighbor (NN)-based method has exhibited superior classification performance.
Zhang, Jun   +5 more
openaire   +2 more sources

Traffic classification techniques supporting semantic networks

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010
The Semantic Networking concept has been introduced to solve the QoS, scalability and complexity challenges for the Future of Internet. Based on traffic awareness and considering flow entities, it contributes to an adaptive management of the network and provides better knowledge of the transported traffic.
Grémillet, Olivier   +3 more
openaire   +2 more sources

Network Traffic Classification Using Multiclass Classifier

2018
This paper aims to classify network traffic in order to segregate normal and anomalous traffic. There can be multiple classes of network attacks, so a multiclass model is implemented for ordering attacks in anomalous traffic. A supervised machine learning method SVM support Vector Machine has been used for multiclass classification.
Prabhjot Kaur   +3 more
openaire   +1 more source

Classification of network traffic in LAN

2015 International Conference on Electronic Design, Computer Networks & Automated Verification (EDCAV), 2015
Classification of Network Traffic is one of most important issue in network management and detection of Intrusion attacks play a vital role in it. To have a holistic picture of the network intrusion detection, selection of appropriate feature is very important; it reduces analysis effort and time too.
Biswajit Langthasa   +2 more
openaire   +1 more source

ANALYSIS OF NETWORK TRAFFIC CLASSIFICATION APPROACHES

Прикладная физика и математика, 2018
Задача классификации трафика сетей передачи данных является одной из самых исследуемых тем в последнее десятилетие, большинство из предложенных работ не зависят от четко известных математических моделей. В настоящей работе представлен аналитический обзор моделей сетевого трафика, и также основные понятия и области применения существующих моделей, и ...
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