A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

Xie, Junfeng, Yu, F. Richard, Huang, Tao, Xie, Renchao, Liu, Jiang, Wang, Chenmeng, Liu, Yunjie·2019·IEEE Communications Surveys & Tutorials

Cited by (699)

Items 101–200 of 699

  1. A Survey on Autonomic Provisioning and Management of QoS in SDN Networks
    Ahmed BinSahaq, Tarek Sheltami, Khaled Salah · 2019 · IEEE Access
  2. Software-Defined Edge Computing (SDEC): Principle, Open IoT System Architecture, Applications, and Challenges
    Pengfei Hu, Wai Chen, Chunming He, Yiping Li, Huansheng Ning · 2019 · IEEE Internet of Things Journal
  3. Machine Learning-Based Multipath Routing for Software Defined Networks
    Mohamad Khattar Awad, Marwa Hassan Hafez Ahmed, Ali F. Almutairi, Imtiaz Ahmad · 2021 · Journal of Network and Systems Management
  4. Special Issue on Artificial Intelligence and Machine Learning for Networking and Communications
    Prosper Chemouil, Pan Hui, Wolfgang Kellerer, Yong Li, Rolf Stadler, Rolf Stadler, Yonggang Wen, Ying Zhang · 2019 · IEEE Journal on Selected Areas in Communications
  5. Intelligent Traffic Management in Next-Generation Networks
    Ons Aouedi, Kandaraj Piamrat, Benoît Parrein · 2022 · Future Internet
  6. A Comprehensive Survey on Machine Learning using in Software Defined Networks (SDN)
    Sahar Faezi, Alireza Shirmarz · 2023 · Human-Centric Intelligent Systems
  7. Offloading Machine Learning to Programmable Data Planes: A Systematic Survey
    Ricardo Parizotto, Bruno Loureiro Coelho, Diego Cardoso Nunes, Israat Haque, Alberto Egon Schaeffer-Filho · 2023 · ACM Computing Surveys
  8. Inter-Slice Mobility Management in 5G: Motivations, Standard Principles, Challenges, and Research Directions
    Muhammad Mohtasim Sajjad, Carlos J. Bernardos, Dhammika Jayalath, Yu‐Chu Tian · 2022 · IEEE Communications Standards Magazine
  9. A New SDN-Based Routing Protocol for Improving Delay in Smart City Environments
    Lamia Elgaroui, Samuel Pierre, Steven Chamberland · 2020 · Smart Cities
  10. An Innovative Reinforcement Learning-Based Framework for Quality of Service Provisioning Over Multimedia-Based SDN Environments
    Ahmed Al-Jawad, Ioan-Sorin Comşa, Purav Shah, Orhan Gemikonakli, Ramona Trestian · 2021 · IEEE Transactions on Broadcasting
  11. DDoS Attack Detection and Mitigation in SDN using Machine Learning
    Fatima Khashab, Joanna Moubarak, Antoine Feghali, Carole Bassil · 2021 · IEEE International Conference on Network Softwarization (NetSoft)
  12. Intrusion Detection Framework for Industrial Internet of Things Using Software Defined Network
    Hani Mohammed Alshahrani, Attiya Khan, Muhammad Rizwan, Mana Saleh Al Reshan, Adel A. Sulaiman, Asadullah Shaikh · 2023 · Sustainability
  13. Intelligent SDN Traffic Classification Using Deep Learning: Deep-SDN
    Ali Malik, Ruairí de Fréin, Mohammed Al-Zeyadi, Javier Andreu-Pérez · 2020 · International Conference on Computer Communication and the Internet (ICCCI)
  14. Transforming Large-Size to Lightweight Deep Neural Networks for IoT Applications
    Rahul Mishra, Hari Prabhat Gupta · 2022 · ACM Computing Surveys
  15. Evolution of High-Throughput Satellite Systems: A Vision of Programmable Regenerative Payload
    Olfa Ben Yahia, Zineb Garroussi, Olivier Bélanger, Brunilde Sansò, Jean‐François Frigon, Stéphane Martel, Antoine Lesage‐Landry, Güneş Karabulut Kurt · 2024 · IEEE Communications Surveys & Tutorials
  16. DDOS attack detection in SDN: Method of attacks, detection techniques, challenges and research gaps
    Aishatu Abdullahi Wabi, Ismaila Idris, Olayemi Mikail Olaniyi, Joseph A. Ojeniyi · 2023 · Computers & Security
  17. AI-Empowered Virtual Network Embedding: A Comprehensive Survey
    Sheng Wu, Ning Chen, Ailing Xiao, Peiying Zhang, Chunxiao Jiang, Wei Zhang · 2024 · IEEE Communications Surveys & Tutorials
  18. IoT‐5G and B5G/6G resource allocation and network slicing orchestration using learning algorithms
    Ado Adamou Abba Ari, Faustin Samafou, Arouna Ndam Njoya, Assidé Christian Djedouboum, Moussa Aboubakar, Alidou Mohamadou · 2025 · IET Networks
  19. Present and Future of Network Security Monitoring
    Marta Fuentes García, José Camacho, Gabriel Maciá‐Fernández · 2021 · IEEE Access
  20. A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks
    Claudio Fiandrino, Chaoyun Zhang, Paul Patras, Albert Banchs, Joerg Widmer · 2020 · IEEE Communications Magazine
  21. A Cognitive Routing Framework for Reliable Communication in IoT for Industry 5.0
    Saptarshi Ghosh, Tasos Dagiuklas, Muddesar Iqbal, Xinheng Wang · 2022 · IEEE Transactions on Industrial Informatics
  22. Machine Learning Techniques for Intrusion Detection Systems in SDN-Recent Advances, Challenges and Future Directions
    Gulshan Kumar, Hamed Alqahtani · 2022 · Computer Modeling in Engineering & Sciences
  23. Machine Learning Approach for Wirelessly Powered RFID-Based Backscattering Sensor System
    Soyeon Jeong, Manos M. Tentzeris, Sangkil Kim · 2020 · IEEE Journal of Radio Frequency Identification
  24. Software-defined load-balanced data center: design, implementation and performance analysis
    Ahmadreza Montazerolghaem · 2020 · Cluster Computing
  25. Generative Adversarial Network-Based Transfer Reinforcement Learning for Routing With Prior Knowledge
    Tianjian Dong, Qi Qi, Jingyu Wang, Alex X. Liu, Haifeng Sun, Zirui Zhuang, Jianxin Liao · 2021 · IEEE Transactions on Network and Service Management
  26. A Comprehensive Survey on Machine and Deep Learning for Optical Communications
    Mohammad Ali Amirabadi, Seyed Alireza Nezamalhosseini, Mohammad Hossein Kahaei, Lawrence R. Chen · 2025 · IEEE Access
  27. Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey
    Mahmoud Abbasi, Amin Shahraki, Md. Jalil Piran, Amir Taherkordi · 2021 · Engineering Applications of Artificial Intelligence
  28. Machine learning based volatile block chain construction for secure routing in decentralized military sensor networks
    S. Rajasoundaran, S. V. N. Santhosh Kumar, M. Selvi, Sannasi Ganapathy, R Rakesh, Arupathraj Kannan · 2021 · Wireless Networks
  29. Enabling Machine Learning with Service Function Chaining for Security Enhancement at 5G Edges
    Bohao Feng, Huachun Zhou, Guanglei Li, Yuming Zhang, Keshav Sood, Shui Yu · 2021 · IEEE Network
  30. Faults in Modular Multilevel Cascade Converters–Part II: Fault Tolerance, Fault Detection and Diagnosis, and System Reconfiguration
    Félix Rojas, Cristobal Jerez, Christoph M. Hackl, Oliver Kalmbach, Javier E. Pereda, Jonathan Lillo · 2022 · IEEE Open Journal of the Industrial Electronics Society
  31. An Intelligent Traffic Classification in SDN-IoT: A Machine Learning Approach
    Isaac Ampratwum, Amiya R. Nayak · 2020 · IEEE International Black Sea Conference on Communications and Networking
  32. High-Performance Modelling and Simulation for Big Data Applications
    Joanna Kołodziej, Horacio González–Vélez · 2019 · Lecture notes in computer science
  33. AI-Enabled Traffic Control Prioritization in Software-Defined IoT Networks for Smart Agriculture
    Fahad Masood, Wajid Ullah Khan, Sana Ullah Jan, Jawad Elsayed Ahmad · 2023 · Sensors
  34. Review and Analysis of Recent Advances in Intelligent Network Softwarization for the Internet of Things
    Mohamed Ali Zormati, Hicham Lakhlef, Sofiane Ouni · 2023 · Computer Networks
  35. A survey of low-latency transmission strategies in software defined networking
    Binghao Yan, Qinrang Liu, Jianliang Shen, Dong Liang, Bo Zhao, Ling Ouyang · 2021 · Computer Science Review
  36. Recent Advances in Data Engineering for Networking
    Engin Zeydan, Josep Mangues‐Bafalluy · 2022 · IEEE Access
  37. Software-defined control of an emulated hydrogen energy storage for energy internet ecosystems
    Ahmed Mahmoud Moustafa, Muhammad Bakr Abdelghany, Al-Shaimaa A. Younis, Mohammed Moness, Ahmed Al‐Durra, Josep Maria Guerrero · 2023 · International Journal of Hydrogen Energy
  38. Machine Learning-Based Self-Interference Cancellation for Full-Duplex Radio: Approaches, Open Challenges, and Future Research Directions
    Mohamed Ibrahim Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre, Wanyi Shiu, Peiwei Wang · 2023 · IEEE Open Journal of Vehicular Technology
  39. From classical to quantum machine learning: survey on routing optimization in 6G software defined networking
    Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan José Vegas Olmos, Idelfonso Tafur Monroy · 2023 · Frontiers in Communications and Networks
  40. Application-Based Online Traffic Classification with Deep Learning Models on SDN Networks
    Lin-Huang Chang, Tsung-Han Lee, Hung‐Chi Chu, Cheng-Wei Su · 2020 · Advances in Technology Innovation
  41. An Intelligent Cluster-Based Routing Scheme in 5G Flying Ad Hoc Networks
    Muhammad Fahad Khan, Kok‐Lim Alvin Yau, Mee Hong Ling, Muhammad Ali Imran, Yung-Wey Chong · 2022 · Applied Sciences
  42. When machine learning meets Network Management and Orchestration in Edge-based networking paradigms
    Amin Shahraki, Torsten Ohlenforst, Felix Kreyß · 2022 · Journal of Network and Computer Applications
  43. A Network Intelligence Architecture for Efficient VNF Lifecycle Management
    Stanislav Lange, Nguyen Van Tu, Seyeon Jeong, Do‐Young Lee, Heegon Kim, Jibum Hong, Jae‐Hyoung Yoo, James Won‐Ki Hong · 2020 · IEEE Transactions on Network and Service Management
  44. SDN-Enabled FiWi-IoT Smart Environment Network Traffic Classification Using Supervised ML Models
    Elaiyasuriyan Ganesan, I‐Shyan Hwang, Andrew Tanny Liem, Mohammad Syuhaimi Ab–Rahman · 2021 · Photonics
  45. Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques --A Comprehensive Survey
    Md. Rayhan Ahmed, Salekul Islam, Swakkhar Shatabda, A. K. M. Muzahidul Islam, Md. Towhidul Islam Robin · 2021
  46. A Novel Predictive Modeling for Student Attrition Utilizing Machine Learning and Sustainable Big Data Analytics
    C. Kok, Chee-Kit Ho, Leixi Chen, Yit Yan Koh, Bowen Tian · 2024 · Applied Sciences
  47. A Survey on Machine Learning Enhanced Integrated Sensing and Communication Systems: Architectures, Algorithms, and Applications
    Mikael Ade Krisna Respati, Byung Moo Lee · 2024 · IEEE Access
  48. DRL-M4MR: An intelligent multicast routing approach based on DQN deep reinforcement learning in SDN
    Chenwei Zhao, Miao Ye, Xingsi Xue, Jianhui Lv, Qiuxiang Jiang, Yong Wang · 2022 · Physical Communication
  49. A comprehensive survey on low-rate and high-rate DDoS defense approaches in SDN: taxonomy, research challenges, and opportunities
    Suruchi Karnani, Neha Agrawal, Rohit Kumar · 2023 · Multimedia Tools and Applications
  50. AI-Assisted Framework for Green-Routing and Load Balancing in Hybrid Software-Defined Networking: Proposal, Challenges and Future Perspective
    Richard Etengu, Saw Chin Tan, Ching Kwang Lee, F. M. Abbou, Teong Chee Chuah · 2020 · IEEE Access
  51. A Machine-Learning-Based Cyberattack Detector for a Cloud-Based SDN Controller
    Alberto Mozó, Amit Karamchandani, Luis de la Cal, Sandra Gómez-Canaval, Antonio Pastor, Lluís Gifre · 2023 · Applied Sciences
  52. BlockSD‐5GNet: Enhancing security of 5G network through blockchain‐SDN with ML‐based bandwidth prediction
    Anichur Rahman, Md. Saikat Islam Khan, Antonio Montieri, Md. Jahidul Islam, Md. Razaul Karim, Mahedi Hasan, Dipanjali Kundu, Mostofa Kamal Nasir, Antonio Pescapè · 2024 · Transactions on Emerging Telecommunications Technologies
  53. Frost Monitoring Cyber–Physical System: A Survey on Prediction and Active Protection Methods
    Ian Zhou, Justin Lipman, Mehran Abolhasan, Negin Shariati, David William Lamb · 2020 · IEEE Internet of Things Journal
  54. $Q$ - TRANSFER: A Novel Framework for Efficient Deep Transfer Learning in Networking
    Trung V. Phan, Shabnam Sultana, Tri Gia Nguyen, Thomas Bauschert · 2020 · International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
  55. A trust management framework for Software Defined Network (SDN) controller and network applications
    Aliyu Lawal Aliyu, Adel Aneiba, Mohammad Patwary, Peter Bull · 2020 · Computer Networks
  56. Deep Reinforcement Learning-Based QoS Optimization for Software-Defined Factory Heterogeneous Networks
    Dan Xia, Jiafu Wan, Pengpeng Xu, Jinbiao Tan · 2022 · IEEE Transactions on Network and Service Management
  57. Fault Prediction for Heterogeneous Telecommunication Networks Using Machine Learning: A Survey
    Killian Murphy, Antoine Lavignotte, Catherine Lepers · 2023 · IEEE Transactions on Network and Service Management
  58. Energy Efficiency in Software Defined Networking: A Survey
    Suchismita Rout, Kshira Sagar Sahoo, Sudhansu Shekhar Patra, Bibhudatta Sahoo, Deepak Puthal · 2021 · SN Computer Science
  59. Extending P4 in-band telemetry to user equipment for latency- and localization-aware autonomous networking with AI forecasting
    Davide Scano, Francesco Paolucci, Koteswararao Kondepu, Andrea Sgambelluri, Luca Valcarenghi, Filippo Cugini · 2021 · Journal of Optical Communications and Networking
  60. SDN-DVFS: an enhanced QoS-aware load-balancing method in software defined networks
    Marjan Mahmoudi, Avid Avokh, Behrang Barekatain · 2022 · Cluster Computing
  61. Coral Reef Bleaching under Climate Change: Prediction Modeling and Machine Learning
    Nathaphon Boonnam, Tanatpong Udomchaipitak, Supattra Puttinaovarat, T. Chaichana, Veera Boonjing, Jirapond Muangprathub · 2022 · Sustainability
  62. Toward caching techniques in edge computing over SDN-IoT architecture: a review of challenges, solutions, and open issues
    Seyedeh Shabnam Jazaeri, Parvaneh Asghari, Sam Jabbehdari, Hamid Haj Seyyed Javadi · 2023 · Multimedia Tools and Applications
  63. A Comprehensive Survey on Knowledge-Defined Networking
    Patikiri Arachchige Don Shehan Nilmantha Wijesekara, Subodha Gunawardena · 2023 · Telecom
  64. Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions
    Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyung Yoo, James Won‐Ki Hong · 2019 · International Conference on Network and Service Management (CNSM)
  65. Deep Reinforcement Learning for Energy-Efficient Task Scheduling in SDN-based IoT Network
    Bassem Sellami, Akram Hakiri, Sadok Ben Yahia, Pascal Berthou · 2020 · IEEE International Symposium on Network Computing and Applications (NCA)
  66. Network for Distributed Intelligence: a Survey and Future Perspectives
    Claudia Campolo, Antonio Iera, Antonella Molinaro · 2023 · IEEE Access
  67. Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches
    Aristide Tanyi‐Jong Akem, Beyza Bütün, Michele Gucciardo, Marco Fiore · 2024 · IEEE Conference on Computer Communications (INFOCOM)
  68. The Computational and Latency Advantage of Quantum Communication Networks
    Roberto Ferrara, Riccardo Bassoli, Christian Deppe, Frank H. P. Fitzek, Holger Boche · 2021 · IEEE Communications Magazine
  69. A Survey of Machine Learning Techniques for Video Quality Prediction from Quality of Delivery Metrics
    Obinna Izima, Ruairí de Fréin, Ali Malik · 2021 · Electronics
  70. AI-Driven Packet Forwarding With Programmable Data Plane: A Survey
    Wei Quan, Ziheng Xu, Mingyuan Liu, Nan Cheng, Gang Liu, Deyun Gao, Hongke Zhang, Xuemin Shen, Weihua Zhuang · 2022 · IEEE Communications Surveys & Tutorials
  71. Deep learning for the security of software-defined networks: a review
    Roya Taheri, Habib Ahmed, Engin Arslan · 2023 · Cluster Computing
  72. A Machine Learning-Aided Network Contention-Aware Link Lifetime- and Delay-Based Hybrid Routing Framework for Software-Defined Vehicular Networks
    Patikiri Arachchige Don Shehan Nilmantha Wijesekara, Subodha Gunawardena · 2023 · Telecom
  73. P4-HLDMC: A Novel Framework for DDoS and ARP Attack Detection and Mitigation in SD-IoT Networks Using Machine Learning, Stateful P4, and Distributed Multi-Controller Architecture
    Walid I. Khedr, Ameer E. Gouda, Ehab R. Mohamed · 2023 · Mathematics
  74. Intrusion detection systems for software-defined networks: a comprehensive study on machine learning-based techniques
    Zaid Mustafa, Rashid Amin, Hamza Aldabbas, Naeem Ahmed · 2024 · Cluster Computing
  75. Reinforcement learning-based SDN routing scheme empowered by causality detection and GNN
    Yuanhao He, Geyang Xiao, Jun Zhu, Tao Zou, Yuan Liang · 2024 · Frontiers in Computational Neuroscience
  76. Neural Network-Based Approach for Detection and Mitigation of DDoS Attacks in SDN Environments
    Oussama Hannache, Mohamed Batouche · 2020 · International Journal of Information Security and Privacy
  77. Machine-Learning Based Prediction of Multiple Types of Network Traffic
    Aleksandra Knapińska, Piotr Lechowicz, Krzysztof M. Walkowiak · 2021 · Lecture notes in computer science
  78. ONOS Flood Defender: An Intelligent Approach to Mitigate DDoS Attack in SDN
    Naziya Aslam, Shashank Srivastava, Manoj Madhava Gore · 2022 · Transactions on Emerging Telecommunications Technologies
  79. Controller placement problem during SDN deployment in the ISP/Telco networks: A survey
    Binod Sapkota, Babu Ram Dawadi, Shashidhar R. Joshi · 2023 · Engineering Reports
  80. Machine Learning With Computer Networks: Techniques, Datasets, and Models
    Haitham Afifi, Sabrina Pochaba, Andreas Boltres, Dominic Laniewski, Janek Haberer, Leonard Paeleke, Reza Poorzare, Daniel Stolpmann, Nikolas Wehner, Adrian Redder et al. · 2024 · IEEE Access
  81. A Routing Optimization Method for Software-Defined SGIN Based on Deep Reinforcement Learning
    Zhe Tu, Huachun Zhou, Kun Li, Guanglei Li, Qi Shen · 2019 · IEEE Globecom Workshops (GC Wkshps)
  82. Machine Learning-based Prediction of VNF Deployment Decisions in Dynamic Networks
    Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyung Yoo, James Won‐Ki Hong · 2019 · Asia-Pacific Network Operations and Management Symposium (APNOMS)
  83. An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness
    Lauren J. Wong, William H. Clark, Bryse Flowers, Richard Michael Buehrer, William Christopher Headley, Alan J. Michaels · 2021 · IEEE Open Journal of the Communications Society
  84. DEQSVC: Dimensionality Reduction and Encoding Technique for Quantum Support Vector Classifier Approach to Detect DDoS Attacks
    Ahmad Alomari, Sathish Kumar · 2023 · IEEE Access
  85. Enhanced optimal placements of multi-controllers in SDN
    G. Ramya, R. Manoharan · 2020 · Journal of Ambient Intelligence and Humanized Computing
  86. Multi-Domain Federation Utilizing Software Defined Networking—A Review
    Mohammad Hassan, Mark A Gregory, Shuo Li · 2023 · IEEE Access
  87. Machine learning based fileless malware traffic classification using image visualization
    Fikirte Ayalke Demmese, Ajaya Neupane, Sajad Khorsandroo, May Dongmei Wang, Kaushik Roy, Yu Fu · 2023 · Cybersecurity
  88. A Temporal Deep Q Learning for Optimal Load Balancing in Software-Defined Networks
    Aakanksha Sharma, Venki Balasubramanian, Joarder Kamruzzaman · 2024 · Sensors
  89. Deep Learning-Based Traffic Prediction for Energy Efficiency Optimization in Software-Defined Networking
    Xiangyi Chen, Xingwei Wang, Bo Yi, Qiang He, Min Huang · 2020 · IEEE Systems Journal
  90. DDoS Attack Detection Approaches in on Software Defined Network
    Saira Muzafar, Noor Zaman Jhanjhi, Navid Ali Khan, Farzeen Ashfaq · 2022 · International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)
  91. Transformer Based Traffic Flow Forecasting in SDN-VANET
    Ali Abir Shuvro, Mohammad Shian Khan, Monzur Rahman, Faisal Hussain, Md. Moniruzzaman, Md Sakhawat Hossen · 2023 · IEEE Access
  92. Machine learning-based DDOS attack detection and mitigation in SDNs for IoT environments
    Kavitha D., R. Ramalakshmi · 2024 · Journal of the Franklin Institute
  93. CAPC: Packet-Based Network Service Classifier With Convolutional Autoencoder
    Kai-Cheng Chiu, Chien-Chang Liu, Li‐Der Chou · 2020 · IEEE Access
  94. A Review of P4 Programmable Data Planes for Network Security
    Ya Gao, Zhenling Wang · 2021 · Mobile Information Systems
  95. Security Enhancement by Identifying Attacks Using Machine Learning for 5G Network
    Hitesh Keserwani, Himanshu Rastogi, Ardhariksa Zukhruf Kurniullah, Sushil Kumar Janardan, Ramakrishnan Raman, Vinod Motiram Rathod, Ankur Gupta · 2022 · International Journal of Communication Networks and Information Security (IJCNIS)
  96. Energy-Efficient Topology Control Mechanism for IoT-Oriented Software-Defined WSNs
    Zhaoming Ding, Lianfeng Shen, Hongyang Chen, Feng Yan, Nirwan Ansari · 2023 · IEEE Internet of Things Journal
  97. Synchronizing DDoS detection and mitigation based graph learning with programmable data plane, SDN
    Jie Ma, Wei Su, Yikun Li, Yihua Peng · 2024 · Future Generation Computer Systems
  98. STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN
    Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal · 2020 · International Conference on Communications
  99. A survey on network forwarding in Software-Defined Networking
    Liang Yang, Bryan Ng, Winston K.G. Seah, Lindsay J. Groves, Deepak Singh · 2020 · Journal of Network and Computer Applications
  100. 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)