Classification and Analysis of Computer Network Traffic
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[1] J.M. Pedersen,et al. Volunteer-based distributed traffic data collection system , 2010, 2010 The 12th International Conference on Advanced Communication Technology (ICACT).
[2] Antonio Pescapè,et al. Issues and future directions in traffic classification , 2012, IEEE Network.
[3] Anja Feldmann,et al. On dominant characteristics of residential broadband internet traffic , 2009, IMC '09.
[4] Andrew W. Moore,et al. A Machine Learning Approach for Efficient Traffic Classification , 2007, 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.
[5] Michalis Faloutsos,et al. Transport layer identification of P2P traffic , 2004, IMC '04.
[6] Philippe Owezarski,et al. On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.
[7] Gerhard Haßlinger. Implications of traffic characteristics on quality of service in broadband multi service networks , 2004, Proceedings. 30th Euromicro Conference, 2004..
[8] Jens Myrup Pedersen,et al. A Practical Method for Multilevel Classification and Accounting of Traffic in Computer Networks , 2014 .
[9] J. M. Pedersen,et al. A method for evaluation of quality of service in computer networks , 2013, 2013 15th International Conference on Advanced Communications Technology (ICACT).
[10] Rastin Pries,et al. Internet Access Traffic Measurement and Analysis , 2012, TMA.
[11] Jesús E. Díaz-Verdejo,et al. Performance of OpenDPI in Identifying Sampled Network Traffic , 2013, J. Networks.
[12] Pere Barlet-Ros,et al. Is Our Ground-Truth for Traffic Classification Reliable? , 2014, PAM.
[13] J. M. Pedersen,et al. A method for assessing quality of service in broadband networks , 2012, 2012 14th International Conference on Advanced Communication Technology (ICACT).
[14] Grenville J. Armitage,et al. A survey of techniques for internet traffic classification using machine learning , 2008, IEEE Communications Surveys & Tutorials.
[15] Lena Schwartz. Next Generation Wireless Lans 802 11n And 802 11ac , 2016 .
[16] Riyad Alshammari,et al. Machine learning based encrypted traffic classification: Identifying SSH and Skype , 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.
[17] Thomas M. Chen,et al. Internet performance monitoring , 2002 .
[18] Michalis Faloutsos,et al. Internet traffic classification demystified: myths, caveats, and the best practices , 2008, CoNEXT '08.
[19] Samir Al-Khayatt,et al. An adaptive statistical sampling technique for computer network traffic , 2010, 2010 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010).
[20] Guochu Shou,et al. Study of Information Network Traffic Identification Based on C4.5 Algorithm , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.
[21] Luca Deri,et al. High speed network traffic analysis with commodity multi-core systems , 2010, IMC '10.
[22] Ying Zhang,et al. A method for real-time peer-to-peer traffic classification based on C4.5 , 2010, 2010 IEEE 12th International Conference on Communication Technology.
[23] Antonio Pescapè,et al. Identification of Traffic Flows Hiding behind TCP Port 80 , 2010, 2010 IEEE International Conference on Communications.
[24] Jens Myrup Pedersen,et al. Obtaining Internet Flow Statistics by Volunteer-Based System , 2012, IP&C.
[25] Jing Yuan,et al. Information Entropy Based Clustering Method for Unsupervised Internet Traffic Classification , 2008, 2008 IEEE International Conference on Communications.
[26] Maurizio Dusi,et al. Traffic classification through simple statistical fingerprinting , 2007, CCRV.
[27] Niccolo Cascarano,et al. iNFAnt: NFA pattern matching on GPGPU devices , 2010, CCRV.
[28] Antonio Pescapè,et al. TIE: A Community-Oriented Traffic Classification Platform , 2009, TMA.
[29] Marco Canini,et al. GTVS: Boosting the Collection of Application Traffic Ground Truth , 2009, TMA.
[30] Jin Li,et al. Congestion location detection: Methodology, algorithm, and performance , 2009, 2009 17th International Workshop on Quality of Service.
[31] Zhi-Li Zhang,et al. Adaptive random sampling for traffic load measurement , 2003, IEEE International Conference on Communications, 2003. ICC '03..
[32] Tung Le,et al. Rapid Identification of BitTorrent traffic , 2010, IEEE Local Computer Network Conference.
[33] Debmalya Panigrahi,et al. Detecting Anomalies Using End-to-End Path Measurements , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.
[34] Grenville J. Armitage,et al. Clustering to Assist Supervised Machine Learning for Real-Time IP Traffic Classification , 2008, 2008 IEEE International Conference on Communications.
[35] Li Jun,et al. Internet Traffic Classification Using Machine Learning , 2007, 2007 Second International Conference on Communications and Networking in China.
[36] Xiang Li,et al. High accurate Internet traffic classification based on co-training semi-supervised clustering , 2010 .
[37] Fulvio Risso,et al. Efficient multistriding of large non-deterministic finite state automata for deep packet inspection , 2012, 2012 IEEE International Conference on Communications (ICC).
[38] Reinhardt A. Botha,et al. Deep packet inspection — Fear of the unknown , 2010, 2010 Information Security for South Africa.
[39] Patrick Crowley,et al. Algorithms to accelerate multiple regular expressions matching for deep packet inspection , 2006, SIGCOMM.
[40] Jesús E. Díaz-Verdejo,et al. On the Performance of OpenDPI in Identifying P2P Truncated Flows , 2011, AP2PS 2011.
[41] Bo Yang,et al. Traffic classification using probabilistic neural networks , 2010, 2010 Sixth International Conference on Natural Computation.
[42] Jens Myrup Pedersen,et al. Classification of HTTP traffic based on C5.0 Machine Learning Algorithm , 2012, 2012 IEEE Symposium on Computers and Communications (ISCC).
[43] Chase Cotton,et al. Packet-level traffic measurements from the Sprint IP backbone , 2003, IEEE Netw..
[44] David Moore,et al. The internet measurement data catalog , 2005, CCRV.
[45] Liu Yingqiu,et al. Network Traffic Classification Using K-means Clustering , 2007, Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007).
[46] István Szabó,et al. On the Validation of Traffic Classification Algorithms , 2008, PAM.
[47] Jens Myrup Pedersen,et al. A method for classification of network traffic based on C5.0 Machine Learning Algorithm , 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).
[48] Vasaka Visoottiviseth,et al. Classification of audio and video traffic over HTTP protocol , 2009, 2009 9th International Symposium on Communications and Information Technology.
[49] Maurizio Dusi,et al. Quantifying the accuracy of the ground truth associated with Internet traffic traces , 2011, Comput. Networks.
[50] Sándor Molnár,et al. Finding Typical Internet User Behaviors , 2012, EUNICE.
[51] Alex X. Liu,et al. High-Speed Flow Nature Identification , 2009, 2009 29th IEEE International Conference on Distributed Computing Systems.
[52] Jens Myrup Pedersen,et al. Obtaining application-based and content-based internet traffic statistics , 2012, 2012 6th International Conference on Signal Processing and Communication Systems.
[53] Konstantina Papagiannaki,et al. Toward the Accurate Identification of Network Applications , 2005, PAM.
[54] Mathilde Benveniste. 'Tiered contention multiple access' (TCMA), a QoS-based distributed MAC protocol , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.
[55] Richard Nelson,et al. Measuring the accuracy of open-source payload-based traffic classifiers using popular Internet applications , 2013, 38th Annual IEEE Conference on Local Computer Networks - Workshops.
[56] Wei Ding,et al. Comparative Research on Internet Flows Characteristics , 2012, 2012 Third International Conference on Networking and Distributed Computing.
[57] Niccolo Cascarano,et al. GT: picking up the truth from the ground for internet traffic , 2009, CCRV.
[58] Kensuke Fukuda. Difficulties of identifying application type in backbone traffic , 2010, 2010 International Conference on Network and Service Management.
[59] Narendra Sharma,et al. Comparison the various clustering algorithms of weka tools , 2012 .
[60] Aiko Pras,et al. Inside dropbox: understanding personal cloud storage services , 2012, Internet Measurement Conference.
[61] Xinbo Song,et al. An analysis of UDP traffic classification , 2010, 2010 IEEE 12th International Conference on Communication Technology.
[62] Shunyi Zhang,et al. Real-Time P2P Traffic Identification , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.
[63] Jens Myrup Pedersen,et al. Volunteer-Based System for Research on the Internet Traffic , 2012 .
[64] Riyad Alshammari,et al. Unveiling Skype encrypted tunnels using GP , 2010, IEEE Congress on Evolutionary Computation.
[65] Naohisa Komatsu,et al. Evaluation of HTTP video classification method using flow group information , 2010, 2010 14th International Telecommunications Network Strategy and Planning Symposium (NETWORKS).
[66] Pere Barlet-Ros,et al. Comparison of Deep Packet Inspection (DPI) Tools for Traffic Classification , 2013 .
[67] Albert Cabellos-Aparicio,et al. Analysis of the impact of sampling on NetFlow traffic classification , 2011, Comput. Networks.
[68] Benxiong Huang,et al. Traffic classification using an improved clustering algorithm , 2008, 2008 International Conference on Communications, Circuits and Systems.
[69] Dario Rossi,et al. Reviewing Traffic Classification , 2013, Data Traffic Monitoring and Analysis.
[70] Guo Li-chao. Analysis of Message Identification for OpenDPI , 2011 .
[71] Maurizio Martinelli,et al. nDPI: Open-source high-speed deep packet inspection , 2014, 2014 International Wireless Communications and Mobile Computing Conference (IWCMC).
[72] Niccolo Cascarano,et al. Optimizing Deep Packet Inspection for High-Speed Traffic Analysis , 2011, Journal of Network and Systems Management.
[73] Pere Barlet-Ros,et al. Extended Independent Comparison of Popular Deep Packet Inspection (DPI) Tools for Traffic Classification , 2014 .
[74] Sven Ubik,et al. Evaluating Application-Layer Classification Using a Machine Learning Technique over Different High Speed Networks , 2010, 2010 Fifth International Conference on Systems and Networks Communications.
[75] Zhou Xusheng,et al. Application of Clustering Algorithms in Ip Traffic Classification , 2009, 2009 WRI Global Congress on Intelligent Systems.
[76] Bin Liu,et al. An Application Traffic Classification Method Based on Semi-Supervised Clustering , 2010, 2010 2nd International Symposium on Information Engineering and Electronic Commerce.
[77] Chaofan Shen,et al. On Detection Accuracy of L7-filter and OpenDPI , 2012, 2012 Third International Conference on Networking and Distributed Computing.
[78] Antonio Pescapè,et al. Traffic classification and its applications to modern networks , 2009, Comput. Networks.
[79] Fulvio Risso,et al. Lightweight, Payload-Based Traffic Classification: An Experimental Evaluation , 2008, 2008 IEEE International Conference on Communications.
[80] Giuseppe Aceto,et al. PortLoad: Taking the Best of Two Worlds in Traffic Classification , 2010, 2010 INFOCOM IEEE Conference on Computer Communications Workshops.
[81] Jens Myrup Pedersen,et al. Volunteer-based system for classification of traffic in computer networks , 2011, 2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers.