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 201–300 of 630

  1. CMFTC: Cross Modality Fusion Efficient Multitask Encrypt Traffic Classification for Efficient Management of IIoT
    Jianbang Dai, Xiaolong Xu, Honghao Gao, Fu Xiao · 2023 · IEEE Transactions on Network Science and Engineering
  2. Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification
    Muhammad Shafiq, Xiangzhan Yu · 2017 · Mobile Information Systems
  3. The correlation study for parameters in four tuples
    Fei Song, Yige Zhang, Zhaoxu An, Huachun Zhou, Ilsun You · 2015 · International Journal of Ad Hoc and Ubiquitous Computing
  4. Machine Learning and Its Applicability in Networking
    Amit Jain, Anand Nayyar · 2020 · Apple Academic Press eBooks
  5. BFSN: A Novel Method of Encrypted Traffic Classification Based on Bidirectional Flow Sequence Network
    Xinxin Tong, Xiaobin Tan, Lingan Chen, Jian Yang, Quan Zheng · 2020 · International Conference on Hot Information-Centric Networking (HotICN)
  6. Encrypted Network Traffic Classification Using a Geometric Learning Model
    Ting-Li Huoh, Yan Luo, Tong Zhang · 2021 · Integrated Network Management
  7. ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification
    Youting Liu, Li Shu, Chengwei Zhang, Chao Zheng, Yong Sun, Qingyun Liu · 2020 · Lecture notes in computer science
  8. Video quality representation classification of Safari encrypted DASH streams
    Ran Dubin, Ofer Hadar, Itai Richman, Ofir Trabelsi, Amit Z. Dvir, Ofir Pele · 2016 · Digital Media Industry & Academic Forum (DMIAF)
  9. Few-Shot Learning-Based Malicious IoT Traffic Detection with Prototypical Graph Neural Networks
    Thin Tharaphe Thein, Yoshiaki Shiraishi, Masakatu Morii · 2023 · IEICE Transactions on Information and Systems
  10. Multi-view multi-label network traffic classification based on MLP-Mixer neural network
    Yu Zheng, Zhangxuan Dang, Xinglin Lian, Chunlei Peng, Xinbo Gao · 2024 · Computer Networks
  11. Iterative-tuning support vector machine for network traffic classification
    Yang Hong, Changcheng Huang, Biswajit Nandy, Nabil Seddigh · 2015 · IFIP/IEEE International Symposium on Integrated Network Management (IM)
  12. A Traffic Classification Method with Spectral Clustering in SDN
    Peng Xiao, Na Liu, Yuanyuan Li, Ying Lü, Xiaojun Tang, Haiwen Wang, Mingxia Li · 2016 · International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)
  13. Effective Media Traffic Classification Using Deep Learning
    Qing Lyu, Xingjian Lu · 2019 · International Conference on Compute and Data Analysis (ICCDA)
  14. Intelligently modeling, detecting, and scheduling elephant flows in software defined energy cloud: A survey
    Ling Xia Liao, Han‐Chieh Chao, Mu‐Yen Chen · 2020 · Journal of Parallel and Distributed Computing
  15. Evaluating Resilience of Encrypted Traffic Classification against Adversarial Evasion Attacks
    Ramy Maarouf, Danish Sattar, Ashraf Matrawy · 2021 · IEEE Symposium on Computers and Communications (ISCC)
  16. Joint source and sending rate modeling in adaptive video streaming
    Stefania Colonnese, Pascal Frossard B, Stefano Rinauro, Lorenzo Rossi, Gaetano Scarano · 2013 · Signal Processing Image Communication
  17. Combining multi-path forwarding and packet aggregation for improved network performance in wireless mesh networks
    Giovanni Di Stasi, Jonas Karlsson, Stefano Avallone, Roberto Canonico, Andreas Kassler, Anna Brunström · 2014 · Computer Networks
  18. A Heterogeneous Service-Oriented Deep Packet Inspection and Analysis Framework for Traffic-Aware Network Management and Security Systems
    Muhammad Asrar Ashraf, Habibullah Jamal, Shoab Ahmed Khan, Zaheer Ahmed, Muhammad Iram Baig · 2016 · IEEE Access
  19. Data Mining and Risk Analysis Supporting Decision in Brazilian Public Health Systems
    Raimundo Valter Costa Filho, Silas Santiago, Ronaldo Fernandes Ramos, Mauro Márcio Oliveira, Luis Odorico M. Andrade, Ivana Cristina de H. C. Barreto · 2019 · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom)
  20. A survey on the application of deep learning for code injection detection
    Stanislav Abaimov, Giuseppe Bianchi · 2021 · Array
  21. Network Traffic Classification Based On A Deep Learning Approach Using NetFlow Data
    Zhang Long, Wang Jinsong · 2022 · The Computer Journal
  22. A Complete Review on the Application of Statistical Methods for Evaluating Internet Traffic Usage
    Vanice Canuto Cunha, Arturo Alejandro Zavala Zavala, Damien Magoni, Pedro R. M. Inácio, Mário M. Freire · 2022 · IEEE Access
  23. A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion
    Yu Zheng, Xinglin Lian, Zhangxuan Dang, Chunlei Peng, Chao Yang, Jianfeng Ma · 2023 · ACM International Conference on Information and Knowledge Management (CIKM)
  24. FedETC: Encrypted traffic classification based on federated learning
    Zhiping Jin, Ke Duan, Changhui Chen, Meirong He, Shan Jiang, Hanxiao Xue · 2024 · Heliyon
  25. DAT detectors: uncovering TCP/IP covert channels by descriptive analytics
    Félix Iglesias, Robert Annessi, Tanja Zseby · 2016 · Security and Communication Networks
  26. An Artificial Deep Neural Network for the Binary Classification of Network Traffic
    Shubair Abdulla, Ahmed Al-Ashoor · 2020 · International Journal of Advanced Computer Science and Applications
  27. Global-Aware Prototypical Network for Few-Shot Encrypted Traffic Classification
    Jingyu Guo, Mingxin Cui, Chengshang Hou, Gaopeng Gou, Zhen Li, Gang Xiong, Chang Liu · 2022 · IFIP Networking Conference (IFIP Networking)
  28. Classifying and tracking enterprise assets via dual-grained network behavioral analysis
    Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman · 2022 · Computer Networks
  29. The Study of Network Traffic Identification Based on Machine Learning Algorithm
    Shi Dong, Dingding Zhou, Wei Ding · 2012 · International Conference on Computational Intelligence and Communication Networks (CICN)
  30. Explainable federated class incremental learning for Encrypted Network Traffic classification
    Raffaele Carillo, Francesco Cerasuolo, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè · 2025 · Computer Networks
  31. A Comprehensive Review of Tunnel Detection on Multilayer Protocols: From Traditional to Machine Learning Approaches
    Zhonghang Sui, Hui Shu, Fei Kang, Yuyao Huang, Guoyu Huo · 2023 · Applied Sciences
  32. Bot-DM: A dual-modal botnet detection method based on the combination of implicit semantic expression and graphical expression
    Guangli Wu, Xingyue Wang, Qian Lu, Hanlin Zhang · 2024 · Expert Systems with Applications
  33. Time-activity footprints in IP traffic
    Félix Iglesias, Tanja Zseby · 2016 · Computer Networks
  34. Online traffic prediction in the cloud
    Bruno L. Dalmazo, João P. Vilela, Marília Curado · 2016 · International Journal of Network Management
  35. Traffic Classification for the Detection of Anonymous Web Proxy Routing
    Shane Miller, Kevin Curran, Tom Lunney · 2015 · International Journal for Information Security Research
  36. Fine-Grained Classification of Internet Video Traffic From QoS Perspective Using Fractal Spectrum
    Pingping Tang, Yuning Dong, Jiong Jin, Shiwen Mao · 2019 · IEEE Transactions on Multimedia
  37. A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT
    Chang-Yui Shin, Jee-Tae Park, Ui-Jun Baek, Myung‐Sup Kim · 2023 · IEEE Access
  38. High performance payload signature-based Internet traffic classification system
    Sungho Lee, Jun‐Sang Park, Sung‐Ho Yoon, Myung‐Sup Kim · 2015 · Asia-Pacific Network Operations and Management Symposium (APNOMS)
  39. A generalizable dynamic flow pairing method for traffic classification
    José Camacho, Pablo Padilla, Pedro García‐Teodoro, Jesús E. Dı́az-Verdejo · 2013 · Computer Networks
  40. Linking network usage patterns to traffic Gaussianity fit
    Ricardo de O. Schmidt, Ramin Sadre, Nikolay Melnikov, Jürgen Schönwälder, Aiko Pras · 2014 · IFIP Networking Conference (IFIP Networking)
  41. Online network traffic classification with incremental learning
    H. R. Loo, Muhammad Nadzir Marsono · 2016 · Evolving Systems
  42. Covert timing channel detection method based on random forest algorithm
    Qingbao Li, Ping Zhang, Zhifeng Chen, Guangxin Fu · 2017 · IEEE International Conference on Communication Technology (ICCT)
  43. Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets
    Jeremy Kepner, Chad R. Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay N. Gadepally et al. · 2020 · IEEE High Performance Extreme Computing Conference
  44. StreaMon: A Data-Plane Programming Abstraction for Software-Defined Stream Monitoring
    Marco Bonola, Giuseppe Bianchi, Giulio Picierro, Salvatore Pontarelli, Marco Monaci · 2015 · IEEE Transactions on Dependable and Secure Computing
  45. Intrusion Detection System Based on Multi-Level Feature Extraction and Inductive Network
    Junyi Mao, Xiaoyu Yang, Bo Hu, You Lu, Guangqiang Yin · 2025 · Electronics
  46. Multi-objective optimization of a hybrid model for network traffic classification by combining machine learning techniques
    Zuleika Nascimento, Djamel Fawzi Hadj Sadok, Stênio Fernandes, Judith Kelner · 2014 · International Joint Conference on Neural Networks (IJCNN)
  47. Traffic classification for managing Applications’ networking profiles
    Hassan Alizadeh, André Zúquete · 2016 · Security and Communication Networks
  48. End-to-End TCP Congestion Control as a Classification Problem
    Guanglu Sun, Chuan Li, Yu Ma, Shaobo Li, Jing Hui Qiu · 2022 · IEEE Transactions on Reliability
  49. SmoteAdaNL: a learning method for network traffic classification
    Zhen Liu, Ruoyu Wang, Ming Tao · 2015 · Journal of Ambient Intelligence and Humanized Computing
  50. A Multi-Classification Approach for the Detection and Identification of eHealth Applications
    Monika Grajzer, Michał Koziuk, Piotr Szczechowiak, Antonio Pescapè · 2012 · International Conference on Computer Communications and Networks (ICCCN)
  51. Internet traffic classification based on expanding vector of flow
    Lei Ding, Jun Liu, Tao Qin, Haifei Li · 2017 · Computer Networks
  52. Encrypted network behaviors identification based on dynamic time warping and k-nearest neighbor
    Zhu Hejun, Zhu Liehuang · 2017 · Cluster Computing
  53. On different ways to classify Internet traffic : a short review of selected publications
    Paweł Foremski · 2013 · Theoretical and Applied Informatics
  54. Research on Network Traffic Identification Based on Improved BP Neural Network
    Shi Dong, Dingding Zhou, Wengang Zhou, Wei Ding, Jian Gong · 2013 · Applied Mathematics & Information Sciences
  55. Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Classification Algorithms
    Zhida Li, Qingye Ding, Soroush Haeri, Ljiljana Trajković · 2018 · Advances in information security
  56. Attacking DoH and ECH: Does Server Name Encryption Protect Users’ Privacy?
    Martino Trevisan, Francesca Soro, Marco Mellia, Idílio Drago, Ricardo Morla · 2022 · ACM Transactions on Internet Technology
  57. PeerG: A P2P botnet detection method based on representation learning and graph contrastive learning
    Guangli Wu, Xingyue Wang, Jing Zhang · 2024 · Computers & Security
  58. STARNeT: Multidimensional spatial–temporal attention recall network for accurate encrypted traffic classification
    Xinjie Guan, Shuyan Zhu, Xili Wan, Yaping Wu · 2025 · Journal of Network and Computer Applications
  59. Measuring the impact of the copyright amendment act on New Zealand residential DSL users
    Shane Alcock, Richard Nelson · 2012 · ACM Internet Measurement Conference (IMC)
  60. Timely Classification and Verification of Network Traffic Using Gaussian Mixture Models
    Hassan Alizadeh, Harald Vranken, André Zúquete, Ali Miri · 2020 · IEEE Access
  61. Encrypted Multitask Traffic Classification via Multimodal Deep Learning
    Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Alfredo Nascita, Antonio Pescapè · 2021 · International Conference on Communications
  62. Identification of Private ICS Protocols Based on Raw Traffic
    Liang Zhai, Qiuhua Zheng, Xu Zhang, Haizhong Hu, Weihao Yin, Yingpei Zeng, Ting Wu · 2021 · Symmetry
  63. Only Header: a reliable encrypted traffic classification framework without privacy risk
    Susu Cui, Jian Liu, Cong Dong, Zhigang Lü, Dan Du · 2022 · Soft Computing
  64. Ambiguity-driven fuzzy C-means clustering: how to detect uncertain clustered records
    Meysam Ghaffari, Nasser Ghadiri · 2016 · Applied Intelligence
  65. NTCS: A real time flow-based network traffic classification system
    Silas S. L. Pereira, Jorge Luiz de Castro e Silva, José Everardo Bessa Maia · 2014 · International Conference on Network and Service Management (CNSM)
  66. Feature Evaluation for Early Stage Internet Traffic Identification
    Lizhi Peng, Hongli Zhang, Bo Yang, Yuehui Chen · 2014 · Lecture notes in computer science
  67. Networkmetrics: multivariate big data analysis in the context of the internet
    José Camacho, Roberto Magán Carrión, Pedro García‐Teodoro, James J. Treinen · 2016 · Journal of Chemometrics
  68. Privacy-preserving deep packet filtering over encrypted traffic in software-defined networks
    Yi-Hui Lin, Shan-Hsiang Shen, Ming-Hong Yang, De-Nian Yang, Wen-Tsuen Chen · 2016 · International Conference on Communications
  69. Network Traffic Classification Using Feature Selection and Parameter Optimization
    Jie Cao, Zhiyi Fang, Dan Zhang, Guannan Qu · 2015 · Journal of Communications
  70. Denoising Adversarial Autoencoder for Obfuscated Traffic Detection and Recovery
    Ola Salman, Imad H. Elhajj, Ayman I. Kayssi, Ali Chehab · 2020 · Lecture notes in computer science
  71. Entropy-Based Characterization of Internet Background Radiation
    Félix Iglesias, Tanja Zseby · 2014 · Entropy
  72. Scalable and Real-Time Deep Packet Inspection
    Do Le Quoc, André Martin, Christof W. Fetzer · 2013 · IEEE/ACM International Conference on Utility and Cloud Computing (UCC)
  73. Against Malicious SSL/TLS Encryption: Identify Malicious Traffic Based on Random Forest
    Yong Fang, Yijia Xu, Cheng Huang, Liang Liu, Lei Zhang · 2020 · Advances in intelligent systems and computing
  74. A new dynamic security defense system based on TCP_REPAIR and deep learning
    Jianxun Tang, Mingsong Chen, Haoyu Chen, Shenqi Zhao, Yu Huang · 2023 · Journal of Cloud Computing Advances Systems and Applications
  75. CoTNeT: Contextual transformer network for encrypted traffic classification
    Hongwei Huang, Lu Ye, Shaohua Zhou, Xingxing Zhang, Ze Li · 2024 · Egyptian Informatics Journal
  76. A novel and effective encrypted traffic classification method based on channel attention and deformable convolution
    Aobo Zou, Wen Yang, Chao-Wei Tang, Jingwen Lu, Jia-Yuan Guo · 2024 · Computers & electrical engineering
  77. SFML: A personalized, efficient, and privacy-preserving collaborative traffic classification architecture based on split learning and mutual learning
    Jiaqi Xia, Meng Wu, Pengyong Li · 2024 · Future Generation Computer Systems
  78. A study on the application of the T5 large language model in encrypted traffic classification
    Jian Luo, Zechao Chen, Wenxiong Chen, Huali Lu, Feng Lyu · 2024 · Peer-to-Peer Networking and Applications
  79. A novel aggregated statistical feature based accurate classification for internet traffic
    Remya Raveendran, Raghi R Menon · 2016 · International Conference on Data Mining and Advanced Computing (SAPIENCE)
  80. Android Malware Classification Approach Based on Host-Level Encrypted Traffic Shaping
    Jie Zhou, Weina Niu, Xiaosong Zhang, Yujie Peng, Hao Wu, Teng Hu · 2020 · International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
  81. nnDPI: A Novel Deep Packet Inspection Technique Using Word Embedding, Convolutional and Recurrent Neural Networks
    Mahmoud Bahaa, Ayman Aboulmagd, Khaled Adel, Hesham Fawzy, Nashwa Abdelbaki · 2020 · Novel Intelligent and Leading Emerging Sciences Conference (NILES)
  82. Performance analysis of traffic classification in an OpenFlow switch
    Shota Ogasawara, Yutaka Takahashi · 2016 · Conference on Cloud and Internet of Things (CIoT)
  83. Accelerating convolutional neural network-based malware traffic detection through ant-colony clustering
    He Huang, Haojiang Deng, Yiqiang Sheng, Xiaozhou Ye · 2019 · Journal of Intelligent & Fuzzy Systems
  84. Intelligent Traffic Classification for Detecting DDoS Attacks using SDN/OpenFlow
    Jarrod N. Bakker · 2017
  85. Multi-Scale Convolutional Neural Networks optimized by elite strategy dung beetle optimization algorithm for encrypted traffic classification
    Quan Peng, Xing-Bing Fu, F. Lin, Xiatian Zhu, Jianting Ning, Fa-Gen Li · 2024 · Expert systems with applications
  86. Few-shot traffic classification based on autoencoder and deep graph convolutional networks
    Shengwei Xu, Jijie Han, Yilong Liu, Haoran Liu, Yijie Bai · 2025 · Scientific Reports
  87. IoT-AMLHP: Aligned multimodal learning of header-payload representations for resource-efficient malicious IoT traffic classification
    Fengyuan Nie, Guangjie Liu, Weiwei Liu, Jianan Huang, Bo Gao · 2025 · Ad Hoc Networks
  88. Comparative study of a Hybrid Model for network traffic identification and its optimization using Firefly Algorithm
    Zuleika Nascimento, Djamel Fawzi Hadj Sadok, Stênio Fernandes · 2013 · IEEE Symposium on Computers and Communications (ISCC)
  89. Traffic Profiling: Evaluating Stability in Multi-device User Environments
    Taimur Bakhshi, Bogdan Ghita · 2016 · International Conference on Advanced Information Networking and Applications Workshops (WAINA)
  90. Towards understanding residential internet traffic: From packets to services
    Zied Aouini, Abdesselem Kortebi, Yacine M. Ghamri-Doudane · 2016 · International Conference on the Network of the Future (NOF)
  91. Generation of Network Traffic Using WGAN-GP and a DFT Filter for Resolving Data Imbalance
    WooHo Lee, Bong-Nam Noh, Yeonsu Kim, Kimoon Jeong · 2019 · Lecture notes in computer science
  92. Application layer classification of Internet traffic using ensemble learning models
    Asad Arfeen, Khizar Ul Haq, Syed Muhammad Yasir · 2020 · International Journal of Network Management
  93. Heimdallr: Fingerprinting SD-WAN Control-Plane Architecture via Encrypted Control Traffic
    Minjae Seo, Jaehan Kim, Eduard Marin, Myoungsung You, Taejune Park, Seungsoo Lee, Seungwon Shin, Jinwoo Kim · 2022 · Annual Computer Security Applications Conference
  94. Bi-ETC: A Bidirectional Encrypted Traffic Classification Model Based on BERT and BiLSTM
    Xiting Ma, Tao Liu, Ning Hu, Xin Liu · 2023 · IEEE International Conference on Data Science in Cyberspace
  95. Trustworthy deep learning for encrypted traffic classification
    Zheng Li, Yanbei Liu, Changqing Zhang, Wanjin Shan, Haifeng Zhang, Xiaoming Zhu · 2025 · Soft Computing
  96. Multi-gigabit traffic identification on GPU
    Alysson Santos, Stenio Flavio de Lacerda Fernandes, Petrônio G. Lopes, Djamel Fawzi Hadj Sadok, Géza Szabó · 2013
  97. Comparative Research on Internet Flows Characteristics
    Xiaoguo Zhang, Wei Ding · 2012 · International Conference on Networking and Distributed Computing (ICNDC)
  98. Big Data Classification: Applications and Challenges
    Pijush Kanti Dutta Pramanik, Moutan Mukhopadhyay, Saurabh Pal · 2021 · Studies in big data
  99. Classifying encrypted traffic using adaptive fingerprints with multi-level attributes
    Chang Liu, G. Xiong, Gao-Peng Gou, Siu-Ming Yiu, Zhen Li, Zhihong Tian · 2021 · World wide web (Bussum)
  100. NIN-DSC: A Network Traffic Anomaly Detection Method Based on Deep Learning
    Yanmiao Li, Xuan Kong, Jiangang Hou, Xin Li, Kun Zhao, Wei Yan Liang, Tongqing Jiang, Yang Xin, Zhi Liu · 2022 · 2022 7th International Conference on Signal and Image Processing (ICSIP)