Effective Media Traffic Classification Using Deep Learning
暂无分享,去创建一个
[1] T. V. Lakshman,et al. Variable-Stride Multi-Pattern Matching For Scalable Deep Packet Inspection , 2009, IEEE INFOCOM 2009.
[2] Dario Rossi,et al. KISS: Stochastic Packet Inspection Classifier for UDP Traffic , 2010, IEEE/ACM Transactions on Networking.
[3] Guodong Li,et al. DFC: Towards Effective Feedback Flow Management for Datacenters , 2010, 2010 Ninth International Conference on Grid and Cloud Computing.
[4] Shijie Sun,et al. MN-SLA: a modular networking SLA framework for cloud management system , 2018, Tsinghua Science and Technology.
[5] Julong Lan,et al. QoS-aware Traffic Classification Architecture Using Machine Learning and Deep Packet Inspection in SDNs , 2018 .
[6] Seungjoon Lee,et al. Network function virtualization: Challenges and opportunities for innovations , 2015, IEEE Communications Magazine.
[7] Amin Vahdat,et al. BwE: Flexible, Hierarchical Bandwidth Allocation for WAN Distributed Computing , 2015, Comput. Commun. Rev..
[8] Jun Li,et al. Multi-core HTB for bandwidth sharing , 2018, ANCS.
[9] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[10] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[11] Grenville Armitage,et al. Synthetic sub-flow pairs for timely and stable IP traffic identification , 2006 .
[12] Gunjan Tank,et al. Software-Defined Networking-The New Norm for Networks , 2012 .
[13] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[14] Mahdi Jafari Siavoshani,et al. Deep packet: a novel approach for encrypted traffic classification using deep learning , 2017, Soft Computing.
[15] Baohua Yang,et al. SMILER: Towards Practical Online Traffic Classification , 2011, 2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems.
[16] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[17] Nick McKeown,et al. OpenFlow: enabling innovation in campus networks , 2008, CCRV.
[18] Zhi Liu,et al. Towards efficient load distribution in big data cloud , 2015, 2015 International Conference on Computing, Networking and Communications (ICNC).
[19] Shie Mannor,et al. A Tutorial on the Cross-Entropy Method , 2005, Ann. Oper. Res..
[20] Muhammad Shafiq,et al. Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification , 2017, Mob. Inf. Syst..
[21] Andrew W. Moore,et al. Internet traffic classification using bayesian analysis techniques , 2005, SIGMETRICS '05.
[22] S. Mohamed,et al. Statistical Normalization and Back Propagation for Classification , 2022 .
[23] Hamid H. Jebur,et al. Machine Learning Techniques for Anomaly Detection: An Overview , 2013 .
[24] Kurt Hornik,et al. FEED FORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS , 1989 .
[25] Andrew W. Moore,et al. Bayesian Neural Networks for Internet Traffic Classification , 2007, IEEE Transactions on Neural Networks.
[26] David Walker,et al. SNAP: Stateful Network-Wide Abstractions for Packet Processing , 2015, SIGCOMM.
[27] Konstantina Papagiannaki,et al. Toward the Accurate Identification of Network Applications , 2005, PAM.
[28] Yibo Xue,et al. Towards time-varying classification based on traffic pattern , 2014, 2014 IEEE Conference on Communications and Network Security.
[29] Michalis Faloutsos,et al. File-sharing in the Internet: A characterization of P2P traffic in the backbone , 2003 .
[30] B. Frey,et al. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning , 2015, Nature Biotechnology.
[31] B. Karp,et al. Autograph: Toward Automated, Distributed Worm Signature Detection , 2004, USENIX Security Symposium.
[32] Cícero Nogueira dos Santos,et al. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts , 2014, COLING.
[33] Mohammad Reza Parsaei,et al. Network Traffic Classification using Machine Learning Techniques over Software Defined Networks , 2017 .
[34] K. P. Soman,et al. Deep Learning for Network Flow Analysis and Malware Classification , 2017, SSCC.
[35] Zhenlong Yuan,et al. Harvesting unique characteristics in packet sequences for effective application classification , 2013, 2013 IEEE Conference on Communications and Network Security (CNS).
[36] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[37] Antonio Pescapè,et al. Issues and future directions in traffic classification , 2012, IEEE Network.
[38] Min Luo,et al. A Framework for QoS-aware Traffic Classification Using Semi-supervised Machine Learning in SDNs , 2016, 2016 IEEE International Conference on Services Computing (SCC).
[39] Eduardo Rocha,et al. A Survey of Payload-Based Traffic Classification Approaches , 2014, IEEE Communications Surveys & Tutorials.
[40] Carey L. Williamson,et al. A Longitudinal Study of P2P Traffic Classification , 2006, 14th IEEE International Symposium on Modeling, Analysis, and Simulation.
[41] A. Santhakumaran,et al. Statistical Normalization and Back Propagationfor Classification , 2011 .
[42] Pan Wang,et al. Datanet: Deep Learning Based Encrypted Network Traffic Classification in SDN Home Gateway , 2018, IEEE Access.
[43] Baohua Yang,et al. Emilie: Enhance the power of traffic identification , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).
[44] Jun Li,et al. PPP: Towards Parallel Protocol Parsing , 2014, China Communications.