Issues and future directions in traffic classification

Dainotti, Alberto, Pescape, Antonio, Claffy, Kimberly·2012·IEEE Network
DOI 10.1109/mnet.2012.6135854

Cited by (630)

Items 301–400 of 630

  1. High Level Policies in SDN
    Libor Polčák, Leo Caldarola, Amine Choukir, Davide Cuda, Marco Dondero, Domenico Ficara, Barbora Franková, Martin Holkovič, Roberto Muccifora, Antonio Trifilo · 2016 · Communications in computer and information science
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    Morteza Noferesti, Rasool Jalili · 2019 · Computer Networks
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    Jinghua Yan · 2018 · IEEE International Conference on Electronics Information and Emergency Communication
  4. CM-UTC: A Cost-sensitive Matrix based Method for Unknown Encrypted Traffic Classification
    Zhiyuan Gao, Jinguo Li, Liangliang Wang, Yin He, Peichun Yuan · 2024 · The Computer Journal
  5. Ensemble classifier for traffic in presence of changing distributions
    Runxin Wang, Lei Shi, Brendan Jennings · 2013 · IEEE Symposium on Computers and Communications (ISCC)
  6. Network traffic classification using AdaBoost Dynamic
    Érico N. de Souza, Stan Matwin, Stênio Fernandes · 2013 · IEEE International Conference on Communications workshops
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    Shane Alcock, Jean-Pierre Möller, Richard Nelson · 2016 · ACM Internet Measurement Conference (IMC)
  8. Video Quality Representation Classification of Encrypted HTTP Adaptive Video Streaming
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  9. A Summary of Traffic Identification Method Depended on Machine Learning
    Baihe Ma, Hui Zhang, Yao Guo, Zhihong Liu, Yong Zeng · 2018 · International Conference on Sensor Networks and Signal Processing (SNSP)
  10. NTARC: A Data Model for the Systematic Review of Network Traffic Analysis Research
    Félix Iglesias, Daniel C. Ferreira, Gernot Vormayr, Maximilian Bachl, Tanja Zseby · 2020 · Applied Sciences
  11. A distributed traffic classification model based on Federated Learning
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  12. Seq2Path: a sequence-to-path-based flow feature fusion approach for encrypted traffic classification
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  13. Traffic Identification Based on Applications using Statistical Signature Free from Abnormal TCP Behavior
    Hyun-Min An, Su-Kang Lee, Jae-Hyun Ham, Myung‐Sup Kim · 2015 · Journal of information science and engineering
  14. Noisy Light Augments the Na+ Current in Somatosensory Pyramidal Neurons of Optogenetic Transgenic Mice
    Pedro Mabil, Nayeli Huidobro, Oswaldo Torres‐Ramírez, Jorge Flores‐Hernández, Amira Flores, Ranier Gutiérrez, Elı́as Manjarrez · 2020 · Frontiers in Neuroscience
  15. Federated Deep Payload Classification for Industrial Internet with Cloud-Edge Architecture
    Peng Zhou · 2020 · International Conference on Mobility, Sensing and Networking (MSN)
  16. Identifying and detecting applications within TLS traffic
    Michael De Lucia, Chase Cotton · 2018 · Cyber Sensing
  17. Systemization of Pluggable Transports for Censorship Resistance
    Sheharbano Khattak, Laurent J. Simon, Steven J. Murdoch · 2014 · arXiv (Cornell University)
  18. A Federated Semi-Supervised Learning Approach for Network Traffic Classification
    Peng, Yao, Meirong He, Yu Wang · 2021 · arXiv (Cornell University)
  19. An Encrypted Traffic Classification Approach Based on Path Signature Features and LSTM
    Yihe Mei, Nurbol Luktarhan, Guodong Zhao, Xiaotong Yang · 2024 · Electronics
  20. Multi-Level Pre-Training for Encrypted Network Traffic Classification
    Jee-Tae Park, Yangseo Choi, Buseung Cho, Seunghae Kim, Myung‐Sup Kim · 2025 · IEEE Access
  21. Multimedia traffic classification with mixture of Markov components
    Hüseyin Özkan, Recep Temelli, Özgür Gürbüz, Oguz Kaan Koksal, Ahmet Kaan Ipekoren, Furkan Canbal, Baran Deniz Karahan, Mehmet Şükrü Kuran · 2021 · Ad Hoc Networks
  22. Poche: A Priority-Based Flow-Aware In-Network Caching Scheme in Data Center Networks
    Gengbiao Shen, Qing Li, Wanxin Shi, Feixue Han, Yong Jiang, Liang Gu · 2022 · IEEE Transactions on Network and Service Management
  23. A recombination generative adversarial network for intrusion detection
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  24. TeleScope: Flow-Level Video Telemetry Using SDN
    Yu Wang, Chayut Orapinpatipat, Hassan Habibi Gharakheili, Vijay Sivaraman · 2016 · European Workshop on Software Defined Networks (EWSDN)
  25. Grano-GT: A granular ground truth collection tool for encrypted browser-based Internet traffic
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  26. The flexible resource management in optical data center networks based on machine learning and SDON
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  27. DOOM: a Training-Free, Real-Time Video Flow Identification Method for Encrypted Traffic
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  28. Automated identification of vulnerable devices in networks using traffic data and deep learning
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  29. Granular classifier: Building traffic granules for encrypted traffic classification based on granular computing
    Xuyang Jing, Jingjing Zhao, Zheng Yan, W. Pedrycz, Xian Li · 2022 · Digital Communications and Networks
  30. MFFAN: Multiple Features Fusion with Attention Networks for Malicious Traffic Detection
    Weiqing Huang, Xinbo Han, Meng Zhang, Min Li, Wen Liu, Zheng Yang, Haitian Yang · 2022 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
  31. Fine-grained P2P traffic classification by simply counting flows
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  32. Design of intelligent capabilities in SDN
    Hongyan Cui, Yabo Zhu, Yuan Yao, Yufeng Li, Yunjie Liu · 2014 · International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology
  33. QoS-Alert Markov Chain Based Scheduling Scheme in Internet of Things
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  34. Security Implications for Ultra-Low Power Configurable SoC FPAA Embedded Systems
    Jennifer Hasler, Sahil S. Shah · 2018 · Journal of Low Power Electronics and Applications
  35. Fuzzy classification boundaries against adversarial network attacks
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  36. Empirical Comparison of Cross-Validation and Test Data on Internet Traffic Classification Methods
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    George N. Mastorakis, Evangelos Pallis, Constandinos X. Mavromoustakis, Athina Bourdena · 2014 · Modeling and optimization in science and technologies
  40. Automatic IoT device identification: a deep learning based approach using graphic traffic characteristics
    Shujun Yin, Weizhe Zhang, Yuming Feng, Yang Xiang, Yang Liu · 2023 · Telecommunication Systems
  41. Large traffic flows classification method
    Qiong Liu, Zhen Liu, Ruoyu Wang, Changqiao Xu · 2014 · IEEE International Conference on Communications workshops
  42. Fine grained classification of Internet video traffics
    Yuning Dong, Li-tao Yao, Shi Hai-xian · 2015 · Asia-Pacific Conference on Communications (APCC)
  43. Traffic Differentiation on Internet of Things
    Thiago Garrett, Schahram Dustdar, Luis C. E. Bona, Elias P. Duarte · 2018 · IEEE International Symposium on Service-Oriented System Engineering (SOSE)
  44. An Abnormal Network Traffic Detection Method on MAWILab Dataset based on Convolutional Neural Network
    Xin Liu · 2022 · IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)
  45. A Classification Method for Network Applications using BP Neural Network
    Dechen Yang, Ming Chen · 2022 · International Conference on Informatics, Networking and Computing (ICINC)
  46. On the impact of packet sampling on Skype traffic classification
    Pedro M. Santiago del Río, Daniel García Corral, José Luis García‐Dorado, Javier Aracil · 2013
  47. Spatial Internet Traffic Load Forecasting with Using Estimation Method
    Anna Kamińska-Chuchmała · 2014 · Procedia Computer Science
  48. A Hybrid Model for Network Traffic Identification Based on Association Rules and Self-Organizing Maps (SOM)
    Zuleika Nascimento, Djamel Fawzi Hadj Sadok, Stênio Fernandes · 2013 · International Conference on Networking and Services
  49. Tor Detection using a Machine Learning Approach Using Correlation based Feature Selection with Best First and Random Forest
    Malak Hamad Al-mashagbeh, Mohammad Ababneh · 2021
  50. LightSEEN: Real-Time Unknown Traffic Discovery via Lightweight Siamese Networks
    Li Ji, Chunxiang Gu, Fushan Wei, Xieli Zhang, Xinyi Hu, Jiaxing Guo, Wenfen Liu · 2021 · Security and Communication Networks
  51. Solving a Big-Data Problem with GPU: TheNetwork Traffic Analysis
    Mercedes Barrionuevo, Mariela Lopresti, Natalia Miranda, María Fabiana Piccoli · 2015 · Journal of Computer Science and Technology
  52. MTRAC - discovering M2M devices in cellular networks from coarse-grained measurements
    Arian Bär, Philipp Svoboda, Pedro Casas · 2015 · International Conference on Communications
  53. Investigating the trade-off between overhead and delay for full packet traffic privacy
    Alfonso Iacovazzi, Andrea Baiocchi · 2013 · IEEE International Conference on Communications workshops
  54. A survey of classification algorithms for network traffic
    R. Deebalakshmi, V. L. Jyothi · 2016
  55. On the Impact of Packet Inter Arrival Time for Early Stage Traffic Identification
    Linlin Wang, Lizhi Peng, Majing Su, Bo Yang, Xiaoqing Zhou · 2016 · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
  56. Signatures of Viber Security Traffic
    M.A.K. Sudozai, Nisar Habib, Shahzad Saleem, Aquib Ali Khan · 2017 · The journal of digital forensics, security and law
  57. Intelligent Traffic Classification for Detecting DDoS Attacks using SDN/OpenFlow
    Jarrod N. Bakker · 2017
  58. Encrypted Traffic Detection in Resource Constrained IoT Networks: A Diffusion Model and LLM Integrated Framework
    Hongjuan Li, Hui Kang, Chenbang Liu, Ruolin Wang, Jiahui Li, Geng Sun, Jiacheng Wang, Shuang Liang, Shiwen Mao · 2025 · IEEE Transactions on Network Science and Engineering
  59. User Behavior Detection Using Multi-Modal Signatures of Encrypted Network Traffic
    Jee-Tae Park, Chang-Yui Shin, Ui-Jun Baek, Myung‐Sup Kim · 2023 · IEEE Access
  60. Boosting Encrypted Traffic Classification Using Feature-Enhanced Recurrent Neural Network With Angle Constraint
    Gongxun Miao, Guohua Wu, Zhen Zhang, Yongjie Tong, Bing Lu · 2024 · IEEE Transactions on Big Data
  61. A Model of Encrypted Network Traffic Classification that Trades Off Accuracy and Efficiency
    Lancan Yu, Jianting Yuan, Jin Zheng, Nan Yang · 2024 · Journal of Network and Systems Management
  62. Conservation of bandwidth for networked control systems under time delays and packet dropouts using hidden Markov models
    Loaie Solyman, Ayman El-Badawy, Ansgar Meroth · 2025 · International Journal of Dynamics and Control
  63. Enhancing Wi-Fi 7: Traffic Flow Intelligence and Multi-Link Operation for Optimal Efficiency
    Neha Dawar, Khuong N. Nguyen, Abhishek Sehgal, Yuming Zhu, Boon Loong Ng, Junsu Choi · 2025 · IEEE Access
  64. Inline high‐bandwidth network analysis using a robust stream clustering algorithm
    Morteza Noferesti, Rasool Jalili · 2019 · IET Information Security
  65. An ICS Traffic Classification Based on Industrial Control Protocol Keyword Feature Extraction Algorithm
    Changhong Yu, Ze Zhang, Ming Gao · 2022 · Applied Sciences
  66. Method of data cleaning for network traffic classification
    Ruoyu Wang, Zhen Liu, Ling Zhang · 2014 · 中国邮电高校学报：英文版
  67. Traffic Identification in Semi-known Network Environment
    Xiao Chen, Jun Zhang, Yang Xiang, Wanlei Zhou · 2013 · IEEE International Conference on Computational Science and Engineering (CSE)
  68. An Integrated Method for Application-level Internet Traffic Classification
    Mi-Jung Choi, Jun‐Sang Park, Myung‐Sup Kim · 2014 · KSII Transactions on Internet and Information Systems
  69. Early Stage Internet Traffic Identification Using Data Gravitation Based Classification
    Lizhi Peng, Haibo Zhang, Bo Yang, Yuehui Chen, Xiaoqing Zhou · 2016 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
  70. Robust Feature Selection for IM Applications at Early Stage Traffic Classification Using Machine Learning Algorithms
    Muhammad Shafiq, Xiangzhan Yu, Dawei Wang · 2017 · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
  71. MODC: A Pareto-Optimal Optimization Approach for Network Traffic Classification Based on the Divide and Conquer Strategy
    Zuleika Nascimento, Djamel Fawzi Hadj Sadok · 2018 · Information
  72. Trigger relationship aware mobile traffic classification
    Heyi Tang, Yong Cui, Jianping Wu, Xiaowei Yang, Zhenjie Yang · 2019 · International Workshop on Quality of Service
  73. BCAC: Batch Classifier based on Agglomerative Clustering for traffic classification in a backbone network
    Hua Wu, Xiying Chen, Guang Cheng, Xiaoyan Hu, Youqiong Zhuang · 2021 · International Workshop on Quality of Service
  74. Protecting traffic privacy for massive aggregated traffic
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  75. Tunneling protocols identification using light packet inspection
    Keihan Kazemi, Ali Fanian · 2015 · International ISC Conference on Information Security and Cryptology (ISCISC)
  76. Efficient Neural Computation on Network Processors for IoT Protocol Classification
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  77. Scalable kernel convex hull online support vector machine for intelligent network traffic classification
    Xiaoqing Gu, Tongguang Ni, Yiqing Fan, Weibo Wang · 2020 · Annals of Telecommunications
  78. Experimental Evaluation of Malware Family Classification Methods from Sequential Information of TLS-Encrypted Traffic
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  79. Do we need a perfect ground-truth for benchmarking Internet traffic classifiers?
    M. Rosário Oliveira, João Carvalho das Neves, Rui Valadas, Paulo Salvador · 2015 · IEEE Conference on Computer Communications (INFOCOM)
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