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Network traffic classification with Self Organizing Maps
2007 22nd international symposium on computer and information sciences, 2007Anomaly detection in network traffic is one of the most challenging topics in the study of computer science and networking. This paper introduces a classification method for analyzing network traffic behavior. In order to distinguish the normal traffic with well-known anomalies such as port scanning and DOS attacks, Self Organizing Maps (SOMs), one of ...
Kızılören, Tevfik, Germen, Emin
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Classification of Traffic Signs
2017This chapter started with reviewing related work in the field of traffic sign classification. Then, it explained the necessity of splitting data and some of methods for splitting data into training, validation, and test sets. A network should be constantly assessed during training in order to diagnose it if it is necessary.
Hamed Habibi Aghdam, Elnaz Jahani Heravi
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Traffic Classification of Mobile Apps through Multi-Classification
GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017The wide spreading and growing usage of smartphones are deeply changing the kind of traffic that traverses home and enterprise networks and the Internet. Tools that base their functions on the knowledge of the application generating the traffic (performance enhancement proxies, network monitors, policy enforcement devices) imply traffic classification,
Aceto, Giuseppe +3 more
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IEEE Transactions on Network and Service Management, 2019
The massive adoption of hand-held devices has led to the explosion of mobile traffic volumes traversing home and enterprise networks, as well as the Internet.
Giuseppe Aceto +3 more
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The massive adoption of hand-held devices has led to the explosion of mobile traffic volumes traversing home and enterprise networks, as well as the Internet.
Giuseppe Aceto +3 more
semanticscholar +1 more source
File-aware P2P traffic classification
2011 IEEE GLOBECOM Workshops (GC Wkshps), 2011As the enormous growth in the number of P2P applications in recent years, ISPs are striving to balance between (1) providing the basic networking service for P2P users, and (2) properly managing network bandwidth usage. In terms of the first aspect, it requires ISPs to provide enough bandwidth for a P2P user to get each file in order to satisfy basic ...
Zhou Zhou, Tian Song
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Waterfall Traffic Identification: Optimizing Classification Cascades
2015The Internet transports data generated by programs which cause various phenomena in IP flows. By means of machine learning techniques, we can automatically discern between flows generated by different traffic sources and gain a more informed view of the Internet.
Foremski, Paweł +2 more
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Towards Open World Traffic Classification
2021Due to the dynamic evolution of network traffic, open world traffic classification has become a vital problem. Traditional traffic classification methods have achieved success to a certain extent but failed with unknown traffic detection due to the assumption of a closed world.
Zhu Liu +4 more
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Early Classification of Network Traffic through Multi-classification
2011In 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
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MalDIST: From Encrypted Traffic Classification to Malware Traffic Detection and Classification
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022Ofek Bader +4 more
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