Results 291 to 300 of about 3,911,620 (341)

Internet traffic classification demystified

Proceedings of the 2008 ACM CoNEXT Conference on - CONEXT '08, 2008
Recent research on Internet traffic classification algorithms has yield a flurry of proposed approaches for distinguishing types of traffic, but no systematic comparison of the various algorithms. This fragmented approach to traffic classification research leaves the operational community with no basis for consensus on what approach to use when, and ...
Hyunchul Kim, KC Claffy, Marina Fomenkov, Dhiman Barman, Michalis Faloutsos, KiYoung Lee   +5 more
openaire   +1 more source

EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification

IEEE Transactions on Dependable and Secure Computing, 2021
Network traffic classification is important to intrusion detection and network management. Most of existing methods are based on machine learning techniques and rely on the features extracted manually from flows or packets. However, with the rapid growth
Xi Xiao, Wentao Xiao, Rui Li, Xiapu Luo, Haitao Zheng, Shutao Xia   +5 more
semanticscholar   +1 more source

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
openaire   +2 more sources

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, M. A. Salahuddin, Leni Aniva, Noura Limam, R. Boutaba, B. Mathieu, S. Moteau, Stéphane Tuffin   +7 more
semanticscholar   +1 more source

Traffic classification through simple statistical fingerprinting

ACM SIGCOMM Computer Communication Review, 2007
The classification of IP ows according to the application that generated them is at the basis of any modern network management platform. However, classical techniques such as the ones based on the analysis of transport layer or application layer information are rapidly becoming ineffective.
CROTTI, Manuel, DUSI, Maurizio, GRINGOLI, Francesco, SALGARELLI, Luca   +3 more
openaire   +2 more sources

FS-Net: A Flow Sequence Network For Encrypted Traffic Classification

IEEE Conference on Computer Communications, 2019
With more attention paid to user privacy and communication security, the volume of encrypted traffic rises sharply, which brings a huge challenge to traditional rule-based traffic classification methods.
Chang Liu, Longtao He, G. Xiong, Zigang Cao, Zhen Li   +4 more
semanticscholar   +1 more source

Machine Learning-Based Traffic Classification of Wireless Traffic

2019 International Conference on Military Communications and Information Systems (ICMCIS), 2019
In tactical scenarios, there is limited knowledge available about an adversary’s encrypted traffic. To improve traffic classification performance in these scenarios, a new modified naive Bayes kernel classifier (MNBK) is proposed based on optimal weight-based kernel bandwidth selection.
Ronggong Song, Tricia Willink
openaire   +1 more source

Traffic State Classification in Condition-Responsive Traffic Control

Intelligent Engineering Systems, 2007 International Conference on, 2007
The performance of a condition-responsive traffic control system primarily depends on the appropriateness of its selection mechanism for picking the right traffic control scheme for any traffic condition observed in the field. A traffic control plan is typically selected by comparing actual traffic conditions with certain thresholds pre-defined for a ...
Geza Pesti, Montasir M. Abbas, Nadeem Chaudhary   +2 more
openaire   +1 more source

Research on traffic taxonomy for Internet traffic classification

2011 13th Asia-Pacific Network Operations and Management Symposium, 2011
Various traffic analysis methods are suggested to use and handle the limited internet resource efficiently due to the rapid increase in the amount of Internet traffic. However, the analysis results cannot be used effectively, as there is no established system and standard for classification.
Ji-hye Kim, Sung-Ho Yoon, Myung-Sup Kim
openaire   +1 more source

Bittorrent traffic classification

Bittorrent currently makes up a large proportion of Internet traffic. The main purpose of my project is to attempt to identify Bittorrent traffic from other kinds of traffic (with particular emphasis on FTP which provides similar functionality to BitTorrent in that it is primarily used for large file downloads) using statistical classification ...
Le, Tung M., But, Jason
openaire   +1 more source