Issues and future directions in traffic classification

Cited by (630)

Items 101–200 of 630

1. Know your Big Data Trade-offs when Classifying Encrypted Mobile Traffic with Deep Learning
   Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè · 2019 · Network Traffic Measurement and Analysis Conference (TMA)
2. Packet-level prediction of mobile-app traffic using multitask Deep Learning
   Antonio Montieri, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè · 2021 · Computer Networks
3. ProWord: An unsupervised approach to protocol feature word extraction
   Zhuo D. Zhang, Zhibin Zhang, Patrick P. C. Lee, Yunjie Liu, Gaogang Xie · 2014 · IEEE Conference on Computer Communications (INFOCOM)
4. Leveraging Internet Background Radiation for Opportunistic Network Analysis
   Karyn Benson, Alberto Dainotti, kc claffy, Alex C. Snoeren, Michalis Kallitsis · 2015 · ACM Internet Measurement Conference (IMC)
5. Monitoring Network Neutrality: A Survey on Traffic Differentiation Detection
   Thiago Garrett, Ligia Eliana Setenareski, Letícia Mara Peres, Luis C. E. Bona, Elias P. Duarte · 2018 · IEEE Communications Surveys & Tutorials
6. Sketching Linear Classifiers over Data Streams
   Kai Sheng Tai, Vatsal Sharan, Peter D. Bailis, Gregory J. Valiant · 2018 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
7. GPU-Accelerated Support Vector Machines for Traffic Classification
   Guanglu Sun · 2018 · International Journal of Performability Engineering
8. CLD-Net: A Network Combining CNN and LSTM for Internet Encrypted Traffic Classification
   Xinyi Hu, Chunxiang Gu, Fushan Wei · 2021 · Security and Communication Networks · Retracted
9. A few shots traffic classification with mini-FlowPic augmentations
   Eyal Horowicz, Tal Shapira, Yuval Shavitt · 2022 · ACM Internet Measurement Conference (IMC)
10. Robust application identification methods for P2P and VoIP traffic classification in backbone networks
    Tao Qin, Lei Wang, Zhaoli Liu, Xiaohong Guan · 2015 · Knowledge-Based Systems
11. Wire-speed statistical classification of network traffic on commodity hardware
    Pedro M. Santiago del Río, Dario Rossi, Francesco Gringoli, Lorenzo Nava, Luca Salgarelli, Javier Aracil · 2012 · ACM Internet Measurement Conference (IMC)
12. Ensemble-Based Deep Learning Model for Network Traffic Classification
    Ons Aouedi, Kandaraj Piamrat, Benoît Parrein · 2022 · IEEE Transactions on Network and Service Management
13. A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
    Kevin Fauvel, Fuxing Chen, Dario Rossi · 2023 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
14. Reliability for Smart Healthcare: A Network Slicing Perspective
    Andressa Vergütz, Guevara Noubir, Michele Nogueira · 2020 · IEEE Network
15. Feature selection for classification of BGP anomalies using Bayesian models
    Nabil M. Al-Rousan, Soroush Haeri, Ljiljana Trajković · 2012 · International Conference on Machine Learning and Cybernetics
16. A GBDT-Paralleled Quadratic Ensemble Learning for Intrusion Detection System
    Jun Yang, Yiqiang Sheng, Jinlin Wang · 2020 · IEEE Access
17. Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic
    Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè · 2022 · Computer Networks
18. Performance Analysis of Network Traffic Predictors in the Cloud
    Bruno L. Dalmazo, João P. Vilela, Marília Curado · 2016 · Journal of Network and Systems Management
19. Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark
    Antonio Montieri, Domenico Ciuonzo, Giuseppe Aceto, Antonio Pescapè · 2017 · International Teletraffic Congress
20. A Survey of Traffic Classification in Software Defined Networks
    Jinghua Yan, Jing Yuan · 2018 · International Conference on Hot Information-Centric Networking (HotICN)
21. Developing a traffic classification platform for enterprise networks with SDN: Experiences & lessons learned
    Bryan Ng, Matthew Hayes, Winston K.G. Seah · 2015 · IFIP Networking Conference (IFIP Networking)
22. Tor Traffic Classification from Raw Packet Header using Convolutional Neural Network
    Minsu Kim, Alagan Anpalagan · 2018 · IEEE International Conference on Knowledge Innovation and Invention (ICKII)
23. Automatic Mobile App Identification From Encrypted Traffic With Hybrid Neural Networks
    Xin Wang, Shuhui Chen, Jinshu Su · 2020 · IEEE Access
24. Machine Learning Techniques for Traffic Identification and Classifiacation in SDWSN: A Survey
    Ratanang Thupae, Bassey Echeng Isong, Naison Gasela, Adnan Mohammed I Abu-Mahfouz · 2018 · Annual Conference of the IEEE Industrial Electronics Society (IECON)
25. Real-Time Encrypted Traffic Classification via Lightweight Neural Networks
    Jin Cheng, Runkang He, E Yuepeng, Yulei Wu, Junling You, Tong Li · 2020 · Globecom
26. Events-Based Security Monitoring Using MMT Tool
    Bachar Wehbi, Edgardo Montes de, Michel Bourdellès · 2012 · IEEE International Conference on Software Testing, Verification and Validation (ICST)
27. Automatic Mobile Application Traffic Identification by Convolutional Neural Networks
    Zhengyang Chen, Bowen Yu, Yu Zhang, Jianzhong Zhang, Jingdong Xu · 2016 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
28. Toward Unsupervised Protocol Feature Word Extraction
    Zhuo Zhang, Zhibin Zhang, Patrick P. C. Lee, Yunjie Liu, Gaogang Xie · 2014 · IEEE Journal on Selected Areas in Communications
29. Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective
    Mario Barbareschi, Salvatore Del Prete, Francesco Gargiulo, Antonino Mazzeo, Carlo Sansone · 2015 · Lecture notes in computer science
30. AI-Powered Internet Traffic Classification: Past, Present, and Future
    Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè · 2023 · IEEE Communications Magazine
31. An Encrypted Traffic Classification Framework Based on Convolutional Neural Networks and Stacked Autoencoders
    Maonan Wang, Kangfeng Zheng, Dan Luo, Yanqing Yang, Xiujuan Wang · 2020 · IEEE International Conference on Computer and Communications (ICCC)
32. Deep Learning Approach for Detecting Malicious Activities Over Encrypted Secure Channels
    Jiwon Yang, Hyuk Lim · 2021 · IEEE Access
33. A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic
    Valentín Carela-Español, Pere Barlet‐Ros, Albert Bifet, Kensuke Fukuda · 2015 · Telecommunication Systems
34. Distilling the Internet’s Application Mix from Packet-Sampled Traffic
    Philipp Richter, Nikolaos Chatzis, Georgios Smaragdakis, Anja Feldmann, Walter Willinger · 2015 · Lecture notes in computer science
35. A Big Data-Enabled Hierarchical Framework for Traffic Classification
    Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè · 2020 · IEEE Transactions on Network Science and Engineering
36. SAM
    Guorui Xie, Qing Li, Yong Jiang, Tao Dai, Gengbiao Shen, Rui Li, Richard Sinnott, Shu‐Tao Xia · 2020
37. GLADS: A global-local attention data selection model for multimodal multitask encrypted traffic classification of IoT
    Jianbang Dai, Xiaolong Xu, Fu Xiao · 2023 · Computer Networks
38. Traffic Identification of Mobile Apps Based on Variational Autoencoder Network
    Ding Li, Yuefei Zhu, Wei Y. Lin · 2017 · International Conference on Computational Intelligence and Security (CIS)
39. Few-Shot network intrusion detection based on prototypical capsule network with attention mechanism
    Handi Sun, Liang Wan, Mengying Liu, Bo Wang · 2023 · PLoS ONE
40. Encrypted internet traffic classification using a supervised spiking neural network
    Ali Rasteh, Florian Delpech, Carlos Aguilar Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier · 2022 · Neurocomputing
41. Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches
    Jumabek Alikhanov, Rhongho Jang, Mohammed Abuhamad, Aziz Mohaisen, DaeHun Nyang, Youngtae Noh · 2021 · IEEE Access
42. Traffic Classification of Mobile Apps through Multi-Classification
    Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè · 2017 · Globecom
43. Application traffic classification using payload size sequence signature
    Kyuseok Shim, Jae‐Hyun Ham, Baraka D. Sija, Myung‐Sup Kim · 2017 · International Journal of Network Management
44. STNN: A Novel TLS/SSL Encrypted Traffic Classification System Based on Stereo Transform Neural Network
    Yu Zhang, Shiman Zhao, Jianzhong Zhang, Xiaowei Ma, Feilong Huang · 2019 · IEEE International Conference on Parallel and Distributed Systems (ICPADS)
45. Data representation for CNN based internet traffic classification: a comparative study
    Ola Salman, Imad H. Elhajj, Ayman I. Kayssi, Ali Chehab · 2020 · Multimedia Tools and Applications
46. On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection
    Idio Guarino, Giampaolo Bovenzi, Davide Di Monda, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè · 2022 · IEEE International Symposium on Measurements & Networking (M&N)
47. Speeding-Up DPI Traffic Classification with Chaining
    Hossein Doroud, Giuseppe Aceto, Walter de Donato, Elnaz Alizadeh Jarchlo, Andrés Marín, César D. Guerrero, Antonio Pescapè · 2018 · Globecom
48. iTeleScope: Softwarized Network Middle-Box for Real-Time Video Telemetry and Classification
    Hassan Habibi Gharakheili, Minzhao Lyu, Yu Wang, Himal Kumar, Vijay Sivaraman · 2019 · IEEE Transactions on Network and Service Management
49. Self-Supervised Traffic Classification: Flow Embedding and Few-Shot Solutions
    Eyal Horowicz, Tal Shapira, Yuval Shavitt · 2024 · IEEE Transactions on Network and Service Management
50. Traffic classification and verification using unsupervised learning of Gaussian Mixture Models
    Hassan Alizadeh, Abdolrahman Khoshrou, André Zúquete · 2015 · IEEE International Symposium on Measurements & Networking (M&N)
51. Flexible neural trees based early stage identification for IP traffic
    Zhenxiang Chen, Lizhi Peng, Chongzhi Gao, Bo Yang, Yuehui Chen, Jin Li · 2015 · Soft Computing
52. Using CNN-based Representation Learning Method for Malicious Traffic Identification
    Yao Wang, Jing An, Wei Hua Huang · 2018 · IEEE/ACIS International Conference on Computer and Information Science (ICIS)
53. Detection of Virtual Private Network Traffic Using Machine Learning
    Shane Miller, Kevin Curran, Tom Lunney · 2020 · International Journal of Wireless Networks and Broadband Technologies
54. A comparison of improving multi-class imbalance for internet traffic classification
    Qiong Liu, Zhen Liu · 2012 · Information Systems Frontiers
55. DBStream: A holistic approach to large-scale network traffic monitoring and analysis
    Arian Bär, Pedro Casas, Alessandro D’Alconzo, Pierdomenico Fiadino, Lukasz Golab, Marco Mellia, Erich Schikuta · 2016 · Computer Networks
56. Detecting IoT Malicious Traffic Based on Autoencoder and Convolutional Neural Network
    Ren‐Hung Hwang, Min-Chun Peng, Chien‐Wei Huang · 2019 · IEEE Globecom Workshops (GC Wkshps)
57. Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis
    Giampaolo Bovenzi, Alessio Foggia, Salvatore Santella, Alessandro Testa, Valerio Persico, Antonio Pescapè · 2022 · International Conference on Communications
58. Analysis of Lightweight Feature Vectors for Attack Detection in Network Traffic
    Fares Meghdouri, Tanja Zseby, Félix Iglesias · 2018 · Applied Sciences
59. A Survey on TLS-Encrypted Malware Network Traffic Analysis Applicable to Security Operations Centers
    Chaeyeon Oh, Joonseo Ha, Heejun Roh · 2021 · Applied Sciences
60. Measuring the accuracy of open-source payload-based traffic classifiers using popular Internet applications
    Shane Alcock, Richard Nelson · 2013 · IEEE Conference on Local Computer Networks Workshops (LCN Workshops)
61. A Packet-Length-Adjustable Attention Model Based on Bytes Embedding Using Flow-WGAN for Smart Cybersecurity
    Luchao Han, Yiqiang Sheng, Xuewen Zeng · 2019 · IEEE Access
62. SHAPE: A Simultaneous Header and Payload Encoding Model for Encrypted Traffic Classification
    Jianbang Dai, Xiaolong Xu, Honghao Gao, Xinheng Wang, Fu Xiao · 2022 · IEEE Transactions on Network and Service Management
63. Service-aware real-time slicing for virtualized beyond 5G networks
    Theodoros Tsourdinis, Ilias Chatzistefanidis, Nikos Makris, Thanasis Korakis, Navid Nikaein, Serge Fdida B · 2024 · Computer Networks
64. A Heuristic-Based Co-clustering Algorithm for the Internet Traffic Classification
    Wei Lu, Ling Xue · 2014 · International Conference on Advanced Information Networking and Applications Workshops (WAINA)
65. Hybrid multicriteria fuzzy classification of network traffic patterns, anomalies, and protocols
    Feras N. Al-Obeidat, El-Sayed M. El-Alfy · 2017 · Personal and Ubiquitous Computing
66. End-to-End Network Intrusion Detection Based on Contrastive Learning
    Longlong Li, Yuliang Lu, Guozheng Yang, Xuehu Yan · 2024 · Sensors
67. A federated semi‐supervised learning approach for network traffic classification
    Zhiping Jin, Zhibiao Liang, Meirong He, Yao Peng, Hanxiao Xue, Yu Wang · 2023 · International Journal of Network Management
68. MEMENTO: A novel approach for class incremental learning of encrypted traffic
    Francesco Cerasuolo, Alfredo Nascita, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi · 2024 · Computer Networks
69. Encrypted Traffic Classification Based on an Improved Clustering Algorithm
    Meng Zhang, Hongli Zhang, Bo Zhang, Gang Lü · 2013 · Communications in computer and information science
70. A Feature Selection Method for Large-Scale Network Traffic Classification Based on Spark
    Yong Wang, Wenlong Ke, Xiaoling Tao · 2016 · Information
71. FPGA-Assisted DPI Systems: 100 Gbit/s and Beyond
    Péter Orosz, Tamás Tóthfalusi, Pál Varga · 2018 · IEEE Communications Surveys & Tutorials
72. Network Traffic Classification Using Ensemble Learning in Software-Defined Networks
    Won-Ju Eom, Yeong-Jun Song, Chang-Hoon Park, Jeong-Keun Kim, Geon-Hwan Kim, You-Ze Cho · 2021 · International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
73. Protocol Reverse Engineering Using LDA and Association Analysis
    Haifeng Li, Bo Shuai, Jian Wang, Chaojing Tang · 2015 · International Conference on Computational Intelligence and Security (CIS)
74. IP mining: Extracting knowledge from the dynamics of the Internet addressing space
    Pedro Casas, Pierdomenico Fiadino, Arian Bär · 2013 · International Teletraffic Congress
75. A Novel Distributed Stack Ensembled Meta-Learning-Based Optimized Classification Framework for Real-time Prolific IoT Traffic Streams
    Manish Snehi, Abhinav Bhandari · 2022 · Arabian Journal for Science and Engineering
76. Deep Encrypted Traffic Detection: An Anomaly Detection Framework for Encryption Traffic Based on Parallel Automatic Feature Extraction
    Gang Long, Zhaoxin Zhang · 2023 · Computational Intelligence and Neuroscience
77. IP packet-level encrypted traffic classification using machine learning with a light weight feature engineering method
    Pengcheng Luo, Jian Chu, Genke Yang · 2023 · Journal of Information Security and Applications
78. IoTTFID: An Incremental IoT Device Identification Model Based on Traffic Fingerprint
    Qinxia Hao, Rong Zheng · 2023 · IEEE Access
79. Hier-SFL: Client-edge-cloud collaborative traffic classification framework based on hierarchical federated split learning
    Tian Qin, Guang Cheng, Yichen Wei, Zifan Yao · 2023 · Future Generation Computer Systems
80. Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats
    Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè · 2023 · IEEE International Conference on Big Data (BigData)
81. Emergence of spike correlations in periodically forced excitable systems
    José A. Reinoso, M. C. Torrent, Cristina Masoller · 2016 · Physical review. E
82. Internet Traffic Privacy Enhancement with Masking: Optimization and Tradeoffs
    Alfonso Iacovazzi, A. Baiocchi · 2014 · IEEE Transactions on Parallel and Distributed Systems
83. TrafficVision: A Case for Pushing Software Defined Networks to Wireless Edges
    Mostafa Uddin, Tamer Nadeem · 2016 · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS)
84. The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
    Yuqi Zhao, Giovanni Dettori, Matteo Boffa, Luca Vassio, Marco Mellia · 2025 · ACM SIGCOMM Conference (SIGCOMM)
85. User behavior based traffic emulator: A framework for generating test data for DPI tools
    Péter Megyesi, Géza Szabó, Sándor Molnár · 2015 · Computer Networks
86. Network traffic classification in encrypted environment: A case study of Google Hangout
    Jayeeta Datta, Neha Kataria, Neminath Hubballi · 2015 · National Conference on Communications
87. Towards QoS in Internet of Things for Delay Sensitive Information
    Irfan Ullah Awan, Muhammad Younas · 2013 · Communications in computer and information science
88. An Efficient Deep Learning Method for Encrypted Traffic Classification on the Web
    Shiva Soleymanpour, Hossein Sadr, Homayoun Beheshti · 2020 · International Conference on Web Research (ICWR)
89. Machine Learning for Broad-Sensed Internet Congestion Control and Avoidance: A Comprehensive Survey
    Huifen Huang, Xiaomin Zhu, Jiedong Bi, Wenpeng Cao, Xinchang Zhang · 2021 · IEEE Access
90. A novel approach for application classification with encrypted traffic using BERT and packet headers
    Jaehak Yu, Yangseo Choi, Kijong Koo, Daesung Moon · 2024 · Computer Networks
91. Performance evaluation of a portable PABX system through developing new bandwidth optimization technique
    Md. Torikur Rahman, Md. Julkar Nayeen Mahi, Milon Biswas, M. Shamim Kaiser, Shamim Al Mamun · 2015 · International Conference on Electrical Engineering and Information Communication Technology
92. Two-Stage Distillation-Aware Compressed Models for Traffic Classification
    Min Lu, Bin Zhou, Zhiyong Bu · 2023 · IEEE Internet of Things Journal
93. Fast and Accurate Multi-Task Learning for Encrypted Network Traffic Classification
    Jee-Tae Park, Chang-Yui Shin, Ui-Jun Baek, Myung-Sup Kim · 2024 · Applied Sciences
94. A low complexity real-time Internet traffic flows neuro-fuzzy classifier
    Antonello Rizzi, Alfonso Iacovazzi, Andrea Baiocchi, Silvia Colabrese · 2015 · Computer Networks
95. Online Traffic Prediction in the Cloud: A Dynamic Window Approach
    Bruno L. Dalmazo, João P. Vilela, Marília Curado · 2014 · International Conference on Future Internet of Things and Cloud (FiCloud)
96. DFE: Deep Flow Embedding for Robust Network Traffic Classification
    Zhijiong Wang, Anguo Zhang, Hung-Chun Li, Yadong Yin, Wei Chen, Chan–Tong Lam, Peng Un Mak, Mang I Vai, Yueming Gao, Sio Hang Pun · 2025 · IEEE Transactions on Network Science and Engineering
97. Low complexity, high performance neuro-fuzzy system for Internet traffic flows early classification
    Antonello Rizzi, Silvia Colabrese, Andrea Baiocchi · 2013 · International Wireless Communications and Mobile Computing Conference (IWCMC)
98. An Unknown Radar Emitter Identification Method Based on Semi-Supervised and Transfer Learning
    Yuntian Feng, Guoliang Wang, Zhipeng Liu, Runming Feng, Xiang Chen, Ning Tai · 2019 · Algorithms
99. A Novel Way to Generate Adversarial Network Traffic Samples against Network Traffic Classification
    Yongjin Hu, Tian Jin, Jun Ma · 2021 · Wireless Communications and Mobile Computing
100. Massive Graph Analytics
     David A. Bader · 2022 · Chapman & Hall/CRC eBooks