Issues and future directions in traffic classification

Dainotti, Alberto, Pescape, Antonio, Claffy, Kimberly·2012·IEEE Network

Cited by (630)

Items 501–600 of 630

  1. Fine grained classification of Internet multimedia traffics
    Yuning Dong, Kai Wang · 2017 · International Conference on Advanced Communication Technology
  2. Real-time positioning of a specific object in the big data environment
    Zhu Hejun, Liehuang Zhu · 2018 · EURASIP Journal on Wireless Communications and Networking
  3. EDW-voting: Robust realtime traffic classification combined with flow side information
    Runzi Zhang, Jinlin Wang, Xiao Chen, Xiaozhou Ye · 2018 · International Conference on Advanced Computational Intelligence (ICACI)
  4. A Probabilistic Counting Framework for Distributed Measurements
    Nicola Bonelli, Christian Callegari, Gregorio Procissi · 2019 · IEEE Access
  5. Auto-generating training data for network application classification
    Carlos Alcantara, Venkat R. Dasari, Christopher Mendoza, Michael McGarry · 2019 · Disruptive Technologies in Information Sciences
  6. Super RaSE: Super Random Subspace Ensemble Classification
    Jianan Zhu, Yang Feng · 2021 · Journal of risk and financial management
  7. Cellular network bandwidth improvement using subscribers’ classification and Wi-Fi offloading
    A Adewale Adeyinka, A Ben-Obaje, Etinosa Noma‐Osaghae, Okesola Olatunji, E E Ekong, Abdulkareem Ademola · 2022 · Bulletin of Electrical Engineering and Informatics
  8. Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks
    Saira Bano, Achilles Machumilane, Lorenzo Valerio, Pietro Cassará, Alberto Gotta · 2022 · IEEE Mediterranean Electrotechnical Conference (MELECON)
  9. A Network Traffic Classification Model Based On XGBOOST_RFECV Feature Extraction
    Ming Li, Guikai Liu · 2022 · International Conference on Advanced Information Science and System (AISS)
  10. Network Traffic Analysis Method Using the Fusion of Dynamic-Static Features based on Stacked Attention Mechanism
    Ziheng Huang, Bolin Chen, Yiting Zhao · 2023 · International Conference on Networks, Communications and Information Technology (CNCIT)
  11. Edge Computing Based Traffic Identification in Elastic Optical Networks for Smart Power Grid
    Zhiang Du, Xiukun Pang · 2023 · International Conference on Electronic Engineering and Informatics (EEI)
  12. A review of few-shot network traffic classification based on deep learning
    Kai Yang, R. Wang, Meng Qi, Long Meng, Zan Qi, Xue Li, Jinlong Fei · 2023
  13. An Intrusion Detection System Using Vision Transformer for Representation Learning
    Xinbo Ban, Ao Liu, Long He, Li Gong · 2024 · Communications in computer and information science
  14. PaBiL-Net: Parallel Bidirectional LSTM Network for Mobile Encrypted Traffic Classification
    Bin Cheng, Fushan Wei, Chunxiang Gu · 2024 · Communications in computer and information science
  15. Enabling locality-sensitive machine learning towards low predictive overhead in flow classification
    Wen-zhi LI, Lin Cui, Xiaoquan Zhang · 2024 · Computer Networks
  16. Building robust traffic classifier under low quality data: A federated contrastive learning approach
    Tian Qin, Guang Cheng, Zhichao Yin, Yichen Wei, Zifan Yao, Zihan Chen · 2025 · Digital Communications and Networks
  17. Fault Tolerance Identification of Application Layer Protocols Based on Protocol Natural Redundancy Decoding
    Guoxian Yu, Xiaomin Ran, Hongyi Yu, Yongbin Li, Renpeng Zha, Yaozhou Ma · 2025 · International Conference on Computing, Networks and Internet of Things (CNIOT)
  18. Optimal resource allocation in Hybrid Packet/optical Circuit Switched networks
    Weiqiang Sun, Zhangxiao Feng, Weisheng Hu · 2016 · International Conference on Transparent Optical Networks
  19. Waterfall Traffic Classification: A Quick Approach to Optimizing Cascade Classifiers
    Paweł Foremski, Christian Callegari, Michele Pagano · 2016 · Wireless Personal Communications
  20. An approach for classification of network traffic on semi-supervised data using clustering techniques
    Dheeraj Basant Shukla, Gajendra Singh Chandel · 2013 · Nirma University International Conference on Engineering
  21. CAEN: A Deep Learning Approach to Mobile App Traffic Identification
    Li Ding, Yuefei Zhu, Wei Y. Lin, Yan Chen · 2019 · International Conference on Computational Science and Computational Intelligence (CSCI)
  22. Abnormal Traffic Detection of Industrial Edge Network Based on Deep Nature Learning
    Qi Liu, Bowen Zhang, Jianming Zhao, Chuanzhi Zang, Xibo Wang, Tong Li · 2021 · Lecture notes in computer science
  23. Method for filtering encrypted traffic using a neural network between an Industrial Internet of things system and Digital Twin
    Ivan Luksha, Truong Duy Dinh, Evgenii Karelin, Ruslan Ivanovich Glushakov, Ruslan Kirichek · 2021 · International Conference on Future Networks and Distributed Systems (ICFNDS)
  24. Measure the Non-standard Port of Popular Protocols
    2020 · International Workshop on Computer Science and Engineering (WCSE)
  25. Network Topology Classification in SDN Ecosystem using Machine Learning
    KAVITA AHIRE, Jyoti Yadav · 2022 · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING
  26. Encrypted Traffic Classification Based on a Convolutional Neural Network
    Zhuhong Ma, Kunyang Li, Zongyu Li, Yao Liu · 2022 · Journal of Physics Conference Series
  27. A combined-CNN model of TLS Traffic Recognition and Classification
    Yunfan Tian, Dongxin Liu, Laifu Wang, Bowen Hu · 2022 · IEEE International Conference on Data Science in Cyberspace
  28. Analytical modelling of Internet provision and usage in context of development through a utility based framework
    Elly Amani Gamukama · 2015 · DiVA (Stockholm University)
  29. When to Triage in Service Systems with Hidden Customer Class Identities?
    Zhankun Sun, Nilay Tanık Argon, Serhan Ziya · 2019 · SSRN Electronic Journal
  30. Application of advanced machine learning techniques to early network traffic classification
    Santiago Egea Gómez · 2020
  31. Active Learning for Network Traffic Classification: A Technical Survey
    Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut · 2021 · arXiv (Cornell University)
  32. Machine Learning-Based Classification of Digital Media Traffic
    Yan-shuang Zhou, Xiangyu Han, Ling-hui Liu, Zhi-han Dong · 2023 · Preprints.org
  33. MLST-FENet: Network traffic classification based on multilevel spatiotemporal feature fusion enhancement
    Yu Zhang, Xuecheng Yu, Yan Huang, Xiaoyan Zhang, Zhenhong Jia, Xizhong Qin · 2023 · Research Square
  34. Cyber Threat Intelligence with Symmetry for Zero-Trust Security
    Pedro Ramos Brandão · 2025 · Preprints.org
  35. Machine learning-Enabled Network Traffic Analysis
    Ons Aouedi · 2022
  36. Novel Cryptographic Primitives and Protocols for Censorship Resistance
    Kevin P. Dyer · 2000
  37. Flow-aggregation Accelerating Strategy for TCP Traffic
    Xiaoguo Zhang, Wei Ding · 2014 · Journal of Networks
  38. Machine Learning Models for Feature Selection
    Ljiljana Trajkovi · 2013
  39. Support of resource-aware vertical handovers in WLAN hotspots
    Sven Wiethölter · 2014 · DepositOnce
  40. 基于复杂网络挖掘的用户行为感知机制
    Zhen Zhang, YuFeng LI, Julong Lan, Jing WANG · 2014 · Scientia Sinica Informationis
  41. Stability of flow features for the identification of Internet applications
    M. Rosário Oliveira, Rui Valadas, Marcin Pietrzyk, Denis Collange · 2014 · International Telecommunications Network Strategy and Planning Symposium
  42. Peeking Network States with Clustered Patterns
    Jinoh Kim, Alex Sim · 2015
  43. Support of Resource-Aware Vertical Handovers in WLAN Hotspots
    Doktor der Ingenieurwissenschaften · 2014
  44. User-Centric Traffic Engineering in Software Defined Networks
    Taimur Bakhshi · 2017 · PEARL (University of Plymouth)
  45. ITCM: A REAL TIME INTERNET TRAFFIC
    Silas Santiago, Lopes Pereira, José Everardo, Jorge Luiz · 2014
  46. Automatic Traffic Classification Using Machine Learning Algorithm for Policy-Based Routing in UMTS–WLAN Interworking
    V. Anantha Narayanan, Varsha Sureshkumar, A. Rajeswari · 2014 · Advances in intelligent systems and computing
  47. Towards a real application-aware network
    Leo Caldarola, Amine Choukir, Davide Cuda, Marco Dondero, Domenico Ficara, Roberto Muccifora, Libor Polčák, Antonio Trifilo · 2015
  48. Behavioural Monitoring via Network Communications
    Gaseb N. Alotibi · 2017 · PEARL (University of Plymouth)
  49. Internet Traffic Management Under EU Regulation 2015/2120 – The Need for the Co-operation of Legal and Computer Scientists
    Andrzej Nałęcz · 2018 · Advances in intelligent systems and computing
  50. FastQ: QoS Control Based on the Time Sequence of First Few Packets
    Aung Kaung Myat, Masaru Onodera, Yoshito Tobe · 2018 · International Conference on Computer Communications and Networks (ICCCN)
  51. A Prediction-based Approach for Anomaly Detection in the Cloud
    Bruno L. Dalmazo, João P. Vilela, Marília Curado · 2019 · Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC)
  52. Embedded Classifiers for Energy-Constrained IoT Network Security
    Jennifer Hasler · 2018 · Springer eBooks
  53. Big Data in Mobile Networks
    Pierdomenico Fiadino, Marc Torrent‐Moreno · 2018 · Encyclopedia of Big Data Technologies
  54. Anonymized searches and their tracing
    Dayanand, Mohini Chauhan · 2019 · International Conference on Issues and Challenges in Intelligent Computing Techniques
  55. A LEAP TOWARDS DEEP LEARNING FOR INVESTIGATING TOR TRAFFIC
    Vindhya Rani Koluru, M. Sampath Kumar · 2020 · Journal of Emerging Technologies and Innovative Research
  56. DSM: Delayed Signature Matching in Deep Packet Inspection
    Yingpei Zeng, Shanqing Guo, Ting Wu, Qiuhua Zheng · 2020 · Symmetry
  57. Protocol Misidentification Made Easy with Format-Transforming Encryption
    Kevin P. Dyer, Scott E. Coull, Thomas Ristenpart, Thomas Shrimpton · 2012
  58. Classificação do tráfego de rede do serviço de mensageria do OpenStack
    Adnei Willian Donatti, Charles C. Miers, Guilherme Koslovski · 2020 · Escola Regional de Redes de Computadores (ERRC)
  59. Encrypted Traffic Classification
    Yuxiang Ma, Yulei Wu, Jingguo Ge · 2020 · Springer eBooks
  60. Traffic Density Based Signal Control System
    Deepali Malhotra · 2019 · Journal of Emerging Technologies and Innovative Research
  61. Flow based Sequential Grouping System for Malicious Traffic Detection
    Jee-Tae Park, Ui-Jun Baek, Min-Seong Lee, Young‐Hoon Goo, Sungho Lee, Myung‐Sup Kim · 2021 · KSII Transactions on Internet and Information Systems
  62. Internet Traffic Classification using multi-classifier systems
    Amjad Twalo, Tsuyoshi Murata · 2013 · Tokyo Tech Research Repository (Tokyo Institute of Technology)
  63. Evaluation Scheme for Traffic Classification Systems
    Yong Ting Zhao, Yuan Yuan, Yong Wang, Yao Yao, Gang Xiong · 2014 · Lecture notes in computer science
  64. Uso de GPUs en la administración del rendimiento de una red de computadoras
    Mercedes Barrionuevo, Mariela Lopresti, Natalia Miranda, María Fabiana Piccoli · 2014 · El Servicio de Difusión de la Creación Intelectual (National University of La Plata)
  65. Evaluating Adversarial Learning Resilience on Various Encrypted Traffic Classifications
    Ramy Maarouf · 2021
  66. AI Algorithms in Networks
    Savo Glisic, Beatriz Lorenzo · 2022 · Wiley eBooks
  67. Early Stage Internet Traffic Identification Using Probabilistic Neural Networks
    Lizhi Peng · 2015 · International Journal of Computer and Communication Engineering
  68. Detection of VPNs using Machine Learning
    Ms. Shipra Srivastava, H Harigovind, Devvrat Modi, Bassam Salim, Yashraj Mathur · 2022 · International Journal for Research in Applied Science and Engineering Technology
  69. Using Clustering Methods of Anomalies and Neural Networks to Conduct Additional Diagnostics of a Computer Network
    Maxim I. Avilov, Yulia Alexandrovna Shichkina, Mikhail S. Kupriyanov · 2022 · Studies in computational intelligence
  70. Big Data in Mobile Networks
    Pierdomenico Fiadino, Marc Torrent‐Moreno · 2019 · Encyclopedia of Big Data Technologies
  71. DETECTION OF VPNS USING MACHINE LEARNING
    Shipra Srivastava, H Harigovind, Devvrat Modi, Mohammad Bassam Salim, Yashraj Mathur · 2022 · International Journal of Engineering Applied Sciences and Technology
  72. Military Network Traffic Anomaly Detection Based on Discriminative Angular Feature
    Xu Chen, Li Yang, Qilong Huang · 2022 · Lecture notes in electrical engineering
  73. A NOVEL APPROACH TO ENHANCE THE PERFORMANCE OF MOBILE AD HOC NETWORK (MANET) THROUGH A NEW BANDWIDTH OPTIMIZATION TECHNIQUE
    Md. Torikur Rahman · 2019 · Applied Computer Science
  74. Classificação de tráfego em redes móveis inteligentes usando abordagem de aprendizado de máquina
    Raimundo Guimarães Saraiva, Kaline Oliveira, Francisco Assis de Oliveira Nascimento · 2022 · Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
  75. Hidden Markov Model Based Traffic Identification Technology of Satellite Communication Network
    Jiaying Li, Liujing Hu, Xianghui Hu, Zhao Liu, Liyuan Li, Zhixin Liu · 2022 · IEEE International Conference on Unmanned Systems (ICUS)
  76. TraCGAN: An Efficient Traffic Classification Framework Based on Semi-supervised Learning with Deep Conventional Generative Adversarial Network
    Yixin Chen, Shuai Wang · 2023 · Communications in computer and information science
  77. A task recognition algorithm based on CNN-LSTM for The Space-Terrestrial Integrated Network
    Yuheng Liu, Yang Li, Qilong Huang, Xu Chen · 2022 · China Automation Congress (CAC)
  78. A Recurrent Self-learning Labeler for Building Network Traffic Ground Truth
    Qingya Yang, Chang Liu, Peipei Fu, Bingxu Wang, Gaopeng Gou, Gang Xiong · 2023 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
  79. Contribuciones para el diseño de servicios inteligentes de seguridad en redes NFV/SDN de operador Telco
    Antonio Agustín Pastor Perales · 2023
  80. Contribuciones a la Aplicación de Machine Learning en Escenarios Novedosos de Tiempo Real
    Stanislav Vakaruk · 2023
  81. Balancing Information Preservation and Data Volume Reduction: Adaptive Flow Aggregation in Flow Metering Systems
    Adrián Pekár, Laszlo A. Makara, Winston K.G. Seah, Oscar Maurício Caicedo Rendón · 2023 · Híradástechnika/Infocommunications journal
  82. Research on Class Imbalance in Encrypted Traffic Datasets
    晓 王 · 2024 · Pure Mathematics
  83. A Network Traffic Anomaly Detection Method Based on Shapelet and KNN
    Si Yu, Xin Xie, Zhao Li, Wenbing Zhen, Tijian Cai · 2024 · Lecture notes in computer science
  84. Traffic Classification Method Based on Graph Convolution Network
    Zhaotao Wu, Zhaohua Long · 2024 · Smart innovation, systems and technologies
  85. Machine Learning-Based Intrusion Detection System for Encrypted Attacks
    Maryam Sarmad Mohammed Ali, Fauzia Yasmin, Saida Sultana · 2024 · European Journal of Applied Science Engineering and Technology
  86. Encrypted Network Traffic Classification Using Deep and Parallel Network-In-Network Models
    Lakku Vamsipriya, K Lavanya, Mudunuru Sujith Varma, Sanepalli Prasanth Reddy · 2024 · International Journal of Advanced Research in Science Communication and Technology
  87. Designing a Robust Network Traffic Annotator and Classifier Using Active Learning Technique
    V Ravi, A.S. Poornima · 2024 · Asia Pacific Conference on Innovation in Technology (APCIT)
  88. Classification of IPSec VPN Encrypted Traffic Based on a Hybrid Method
    Qi Song, Jia Liu, Caipu Zhang, Zhen Wang, Zhenkun Wei, Pengcheng Ma · 2024 · International Conference on Electronics, Computers and Communication Technology (CECCT)
  89. SCENE: Shape-based Clustering for Enhanced Noise-resilient Encrypted Traffic Classification
    Meijie Du, Mingqi Hu, Shu Li, Zhao Li, Qingyun Liu · 2024 · International Conference on Trust, Security and Privacy in Computing and Communications
  90. FXBoost: darknet user behavior classification based on two-stage ensemble learning
    Junyuan Zhang, Qingbing Ji, Lu Kang, Chengpeng Dai, Lulin Ni, Jie Luo · 2025 · International Conference on Computer Application and Information Security (ICCAIS)
  91. A Network Intrusion Detection Algorithm Based on Multi-layer Feature Learning
    Shiwei Tang, Zhilong Li, You Lu, Xiaoyu Yang, Shigang Tang, Guangqiang Yin · 2025 · Lecture notes in electrical engineering
  92. Auto-TFCE: Automatic Traffic Feature Code Extraction Method and Its Application in Cyber Security
    Junjiang He, Jiayan Wang, Jiangchuan Chen, Wenbo Fang, Lei Zhang, Tao Li · 2025 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  93. MTDIR: A Malicious Traffic Detection Model Based on the Image Retrieval Perspective
    Ziang Li, Haonan He, Zhou Zhou, Cheng-Xiang Si · 2025 · International Conference on Multimedia Retrieval
  94. MetaSSL-ETD: Robust Detection of Malicious Encrypted Traffic Based on Semi-supervised Meta-learning
    Yaohui Wang, Guanyao Du, Ye Lu, Chun Long, Wei Wan, Degang Sun · 2025 · Lecture notes in computer science
  95. An Innovative Botnet Revelation Framework for Competing Concerns in IoT (BRF-CCIoT)
    Priyang Bhatt, Bhaskar Thakker, Falgun N. Thakkar · 2025 · Springer eBooks
  96. Research on Lightweight Learning in the Field of Traffic Analysis
    Ben Qian, Xuan Sun, Mengyan Qiao, Chenxu Pei · 2025 · Lecture notes in operations research
  97. Zero in on the Target: A Composite Robust Model for Retrieving Information in Traffic Data to Discover Network Attacks
    Ziang Li, Cheng-Xiang Si, Zhenyu Cheng · 2025 · ACM Multimedia
  98. JITI: Dynamic Model Serving for Just-in-Time Traffic Inference
    Xi Jiang, Shinan Liu, Saloua Naama, Francesco Bronzino, Paul Schmitt, Nick Feamster · 2025 · Proceedings of the ACM on Networking
  99. Flow-Based Metadata with Robust Machine Learning Approaches for Application Classification in Diverse Network Traffic
    V Ravi, A S Poornima · 2025 · Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB)
  100. Federated Incremental Learning for Encrypted Network Traffic Classification
    Raffaele Carillo, Francesco Cerasuolo, Antonio Pescapè, Eirini Kanaki, Periklis Chatzimisios · 2025 · International Conference on Blockchain Computing and Applications (BCCA)