Results 211 to 220 of about 76,767 (261)

Application identification via network traffic classification

2017 International Conference on Computing, Networking and Communications (ICNC), 2017
Recent developments in Internet technology have led to an increased importance of network traffic classification. In this study, we used machine-learning methods for the identification of applications using network traffic classification. Contrary to existing studies, which classify applications into categories like FTP, Instant Messaging, etc., we ...
Karsligil, M. E., YAMANSAVASCILAR, Baris, YAVUZ, Ali Gökhan, GÜVENSAN, Mehmet Amaç   +3 more
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Traffic identification using artificial neural network [Internet traffic]

Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555), 2002
The paper investigates the use of artificial neural networks (ANN) to unconventionally classify Internet traffic. Structurally and functionally, the classifier used is a feedforward multilayer layer perceptron (FFMLP) network trained using backpropagation. The inputs are random samples of bits from a bit stream (i.e.
A.A. Ali, R. Tervo
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Real-Time P2P Traffic Identification

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference, 2008
Accurate and fast identification of network traffic is an important element of many network management tasks such as QoS provisioning and security monitoring. However, as many newly-emerged Peer-to-Peer (P2P) applications using dynamic port numbers, masquerading techniques, and payload encryption to avoid detection, the classical approaches based on ...
Jun Li, Shunyi Zhang, Yanqing Lu, Junrong Yan   +3 more
openaire   +1 more source

Zero-Day Traffic Identification

2013
Recent research on Internet traffic classification has achieved certain success in the application of machine learning techniques into flow statistics based method. However, existing methods fail to deal with zero-day traffic which are generated by previously unknown applications in a traffic classification system.
Jun Zhang, Xiao Chen, Yang Xiang, Wanlei Zhou   +3 more
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Tor traffic analysis and identification

2017 AEIT International Annual Conference, 2017
Tor is an anonymous Internet communication system based on the second generation of onion routing network protocol. Using Tor is really difficult to trace the users Internet activity: this is the reason why the usage of Tor is intended in order to protect the privacy of users, their freedom and the ability to conduct confidential communications without
Mercaldo F., Martinelli F.
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Rapid Identification of BitTorrent traffic

IEEE Local Computer Network Conference, 2010
BitTorrent is one of the dominant traffic generating applications in the Internet today. The ability to identify BitTorrent traffic in real-time could allow network operators to better manage network traffic and provide a better service to their customers.
But, Jason, Branch, Philip, Le, Tung
openaire   +1 more source

Waterfall Traffic Identification: Optimizing Classification Cascades

2015
The 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, CALLEGARI, CHRISTIAN, PAGANO, MICHELE   +2 more
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Distributed P2P Traffic Identification Method

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing, 2009
that any identification method alone is unable to identify P2P traffic accurately and efficiently. In this paper, we present a P2P traffic identification method which is based on distributed and separation of identification and statistic of P2P traffic flows. This method needs three components: Probe, Netflow Capturer (NC) and Monitor.
Bo Xu, Ming Chen, Lan Fei
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Traffic identification using Bayes' classifier

2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era (Cat. No.00TH8492), 2002
Due to the exponential increase in Internet traffic, there has been a demand for increasing quality of service (QoS) offered by servers, routers and client machines whereby some types of traffic will be given priority. This can only be achieved by quickly identifying the type of traffic passing.
A.A. Ali, R. Tervo
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Research of P2P traffic identification based on traffic characteristics

2011 International Conference on Multimedia Technology, 2011
The P2P traffic plays a important role in promoting the Internet applications. Meanwhile, P2P has also caused network congestion and safety problems because of resource occupation. To ensure the network run properly, it is necessary to have a control over the P2P traffic.
null Jingyu Wang, null Jiyuan Zhang, null Yuesheng Tan   +2 more
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