State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

Fadlullah, Zubair Md., Tang, Fengxiao, Mao, Bomin, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro·2017·IEEE Communications Surveys & Tutorials
DOI 10.1109/comst.2017.2707140

Cited by (810)

Items 401–500 of 810

  1. Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routing
    Federico Lozano-Cuadra, Beatriz Soret · 2024 · IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
  2. RBLJAN: Robust Byte-Label Joint Attention Network for Network Traffic Classification
    Xi Xiao, Shuo Wang, Guangwu Hu, Qing Li, Kelong Mao, Xiapu Luo, Bin Zhang, Shu‐Tao Xia · 2024 · IEEE Transactions on Dependable and Secure Computing
  3. On the achievable tracking performance of NCSs over SNR limited channels
    Xiaowei Jiang, Xiangyong Chen, Junwei Hu, Huaicheng Yan, Ming‐Feng Ge · 2019 · Journal of the Franklin Institute
  4. Spatiotemporal graph convolutional recurrent networks for traffic matrix prediction
    Jianlong Zhao, Hua Qu, Jihong Zhao, Huijun Dai, Dingchao Jiang · 2020 · Transactions on Emerging Telecommunications Technologies
  5. Deep Learning-Based Recommendation: Current Issues and Challenges
    Rim Fakhfakh, Anis Ben, Chokri Ben · 2017 · International Journal of Advanced Computer Science and Applications
  6. Optimal Packet Camouflage Against Traffic Analysis
    Louma Chaddad, Ali Chehab, Imad H. Elhajj, Ayman I. Kayssi · 2021 · ACM Transactions on Privacy and Security
  7. A Secure Hybrid Deep Learning Technique for Anomaly Detection in IIoT Edge Computing
    Bharath Konatham, Tabassum Simra, Fathi Amsaad, Mohamed I. Ibrahem, Noor Zaman Jhanjhi · 2024
  8. Artificial intelligence approaches in predicting the mechanical properties of natural fiber-reinforced concrete: A comprehensive review
    Mohammed Mohammed, Jawad K. Oleiwi, Aeshah M. Mohammed, Azlin Fazlina Osman, Tijjani Adam, Bashir O. Betar, Subash C.B. Gopinath · 2025 · Engineering Applications of Artificial Intelligence
  9. Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge
    Davide Calvaresi, Giovanni Ciatto, Amro Najjar, Reyhan Aydoğan, Leendert van der Torre, A. Omicini, M. Schumacher · 2021 · EXTRAAMAS@AAMAS
  10. A reinforcement learning approach for widest path routing in software-defined networks
    Chih‐Heng Ke, Yi-Hao Tu, Yi‐Wei Ma · 2022 · ICT Express
  11. Self‐Organized Cell Outage Detection Architecture and Approach for 5G H‐CRAN
    Peng Yu, Fanqin Zhou, Tao Zhang, Wenjing Li, Lei Feng, Xuesong Qiu · 2018 · Wireless Communications and Mobile Computing
  12. Deep learning for internet of things in fog computing: Survey and Open Issues
    Jihene Tmamna, Emna Ben Ayed, Mounir Ben Ayed · 2020 · International Conference on Advanced Technologies for Signal and Image Processing
  13. Deep-FDA: Using Functional Data Analysis and Neural Networks to Characterize Network Services Time Series
    Daniel Perdices, Jorge E. López de Vergara, Javier Ramos · 2021 · IEEE Transactions on Network and Service Management
  14. Data Science for Internet of Things (IoT)
    M. Devi, Ramakrishnan Dhaya, Radhakrishnan Kanthavel, Fahad Algarni, Pooja Dixikha · 2020 · Lecture notes on data engineering and communications technologies
  15. A Survey on SDN and SDCN Traffic Measurement: Existing Approaches and Research Challenges
    MD Samiul Islam, Mohammed Al-Mukhtar, Md Rahat Kader Khan, Mojammel Hossain · 2023 · Eng—Advances in Engineering
  16. Enhanced VGG19 Model for Accident Detection and Classification from Video
    Soukaina Bouhsissin, Nawal Sael, Faouzia Benabbou · 2021 · International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)
  17. A Fine-Grained Attention Model for High Accuracy Operational Robot Guidance
    Yinghao Chu, Daquan Feng, Zuozhu Liu, Lei Zhang, Zizhou Zhao, Zhenzhong Wang, Zhiyong Feng, Xiang‐Gen Xia · 2022 · IEEE Internet of Things Journal
  18. Multi-Antenna Channel Interpolation via Tucker Decomposed Extreme Learning Machine
    Han Zhang, Bo Ai, Wenjun Xu, Li Xu, Shuguang Robert Cui · 2019 · IEEE Transactions on Vehicular Technology
  19. A Machine Learning Approach of Load Balance Routing to Support Next-Generation Wireless Networks
    Haipeng Yao, Xin Yuan, Peiying Zhang, Jingjing Wang, Chunxiao Jiang, Mohsen Guizani · 2019 · International Wireless Communications and Mobile Computing Conference (IWCMC)
  20. A novel network traffic classification approach via discriminative feature learning
    Lixin Zhao, Lijun Cai, Aimin Yu, Zhen Hui Xu, Dan Meng · 2020 · ACM Symposium on Applied Computing
  21. Interpretable Unsupervised Anomaly Detection For RAN Cell Trace Analysis
    Chawla, Ashima, Jacob, Paul, Feghhi, Saman, Rughwani, Devashish, van der Meer, Sven, Fallon, Sheila · 2020 · 2020 16th International Conference on Network and Service Management (CNSM)
  22. Autonomous network management for 6G communication: A comprehensive survey
    Inam Ullah, Ali Arishi, Sushil Kumar Singh, Faisal Alharbi, Anwar Hassan Ibrahim, Muhammad Islam, Yousef Ibrahim Daradkeh, Chang Choi · 2025 · Digital Communications and Networks
  23. Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data
    Jiahui Jin, Yifan Song, Dong Kan, Binjie Zhang, Yan Lyu, Jinghui Zhang, Hongru Lu · 2024 · Information Processing & Management
  24. Fine-Grained Encrypted Traffic Classification Using Dual Embedding and Graph Neural Networks
    Zhengyang Liu, Qiang Wei, Qisong Song, Changxu Duan · 2025 · Electronics
  25. AI-enabled routing in next generation networks: A survey
    Fatma Aktas, Ibraheem Abdullah Mohammed Shayea, Mustafa Ergen, Bilal Saoud, Abdulsamad Ebrahim Yahya, Laura Aldasheva · 2025 · Alexandria Engineering Journal
  26. An Effective Diagnostic Model for Personalized Healthcare Using Deep Learning Techniques
    Parul Agarwal, Syed Imtiyaz Hassan, Syed Khalid Mustafa, Jawed Ahmad · 2020 · Advances in medical technologies and clinical practice book series
  27. Towards Interpretable Anomaly Detection: Unsupervised Deep Neural Network Approach using Feedback Loop
    Ashima Chawla, Paul Mazhuvanchary Jacob, Paddy G. Farrell, Erik Aumayr, Sheila Fallon · 2022 · IEEE/IFIP Network Operations and Management Symposium (NOMS)
  28. Game Theoretic Approach for Network Access Control in Heterogeneous Networks
    Yun Jie Zhu, Jiade Li, Qiuyuan Huang, Dapeng Oliver Wu · 2018 · IEEE Transactions on Vehicular Technology
  29. SAWANT: Smart Window Based Anomaly Detection Using Netflow Traffic
    Mohammad Hashem Haghighat, Zohreh Abtahi Foroushani, Jun Li · 2019 · IEEE International Conference on Communication Technology (ICCT)
  30. Efficiency and Security for Edge Computing Assisted Smart Grids
    Aidong Xu, Yixin Jiang, Jinsong Wu, Yunan Zhang, Wenjin Hou, Hong Wen, Yi Zheng · 2019 · IEEE Globecom Workshops (GC Wkshps)
  31. Robust automatic modulation classification based on convolutional and recurrent fusion network
    Zhichao Lyu, Yu Wang, Wenmei Li, Liang Guo, Jie Yang, Jinlong Sun, Miao Liu, Guan Gui · 2020 · Physical Communication
  32. Secure and transparent traffic congestion control system for smart city using a federated learning approach
    Muhammad Hassan Ghulam Muhammad, R. Badlishah Ahmad, Areej Fatima, Abdul Salam Mohammed, Muhammad Ahsan Raza, Muhammad Adnan Khan · 2024 · International Journal of ADVANCED AND APPLIED SCIENCES
  33. Living with Artificial Intelligence: A Paradigm Shift toward Future Network Traffic Control
    Jun Xu, Kaishun Wu · 2018 · IEEE Network
  34. Encrypted Network Traffic Classification Using Deep Learning Method
    Seyedeh Bahareh Banihashemi, Ehsan Akhtarkavan · 2022 · International Conference on Web Research (ICWR)
  35. A spectral clustering algorithm for intelligent grouping in Dense Wireless Networks
    Bruna Toledo Guedes, Diego Gimenez Passos, Fernanda G. O. Passos · 2022 · Computer Communications
  36. A Review on the Effectiveness of Machine Learning and Deep Learning Algorithms for Collaborative Robot
    Mohit Sajwan, Simranjit Singh · 2023 · Archives of Computational Methods in Engineering
  37. A Framework for Resource-aware Online Traffic Classification Using CNN
    Wanqian Zhang, Junxiao Wang, Sheng Chen, Heng Qi, Keqiu Li · 2019 · International Conference on Future Internet Technologies
  38. CoDRL: Intelligent Packet Routing in SDN Using Convolutional Deep Reinforcement Learning
    Pravati Swain, Uttam Kamalia, Raj Bhandarkar, Tejas M. Modi · 2019 · IEEE International Conference on Advanced Networks and Telecommunications Systems
  39. How Can Machine Learning Impact on Wireless Network and IoT? – A Survey
    Swarnalina Laha, Nilanjan Roy Chowdhury, Raja Karmakar · 2020 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  40. Online machine learning algorithms to optimize performances of complex wireless communication systems
    Koji Oshima, Daisuke Yamamoto, Atsuhiro Yumoto, Song-Ju Kim, Yusuke Ito, Mikio Hasegawa · 2021 · Mathematical Biosciences & Engineering
  41. Comparative Analysis of Routing Schemes Based on Machine Learning
    Yang Shaoyu, Cong Tan, Dag Øivind Madsen, Haige Xiang, Yun Li, Imran Khan, Bong Jun Choi · 2022 · Mobile Information Systems
  42. Intrusion detection and prevention for IoT systems using Machine Learning
    Nadia Chaabouni · 2020 · theses.fr (ABES)
  43. A deep learning-based constrained intelligent routing method
    Zheheng Rao, Yanyan Xu, Shaoming Pan · 2021 · Peer-to-Peer Networking and Applications
  44. Autonomous Network Management in Multi-Domain 6G Networks based on Graph Neural Networks
    Kaan Aykurt, Wolfgang Kellerer · 2023 · IEEE International Conference on Network Softwarization (NetSoft)
  45. RL-Based Resource Allocation in SDN-Enabled 6G Networks
    Ivan Radosavljević, P. D. Bojović, Ž. Bojović · 2025 · Future Internet
  46. Big Data Driven Predictive Caching at the Wireless Edge
    Chien Aun Chan, Ming Gao Yan, André F. Gygax, Wenwen Li, Li Li, I Chih‐Lin, Jinyao Yan, Christopher A. Leckie · 2019 · IEEE International Conference on Communications workshops
  47. DQN Learning Based Defense Against Smart Primary User Emulation Attacks in Cooperative Sensing Systems
    Shivanshu Shrivastava, Bin Chen, Hui Wang · 2021 · IEEE Access
  48. A Review of Deep Learning Applications for the Next Generation of Cognitive Networks
    Raymundo Buenrostro‐Mariscal, Pedro Cesar Santana-Mancilla, Osval Antonio Montesinos-López, Juan Iván Nieto Hipólito, Luis Anido · 2022 · Applied Sciences
  49. Multi-agent deep reinforcement learning algorithm with self-adaption division strategy for VNF-SC deployment in SDN/NFV-Enabled Networks
    Hejun Xuan, Yi Zhou, Xuelin Zhao, Zhenghui Liu · 2023 · Applied Soft Computing
  50. Improved IDS for Vehicular Ad-Hoc Network using Deep Learning Approaches
    S. Amutha, A. Ramathilagam, G.Uma Maheswari · 2023 · International Conference on Automation, Computing and Renewable Systems (ICACRS)
  51. Toward Intelligent Reconfiguration of RPL Networks using Supervised Learning
    Moussa Aboubakar, Mounir Kellil, Abdelmadjid Bouabdallah, Pierre Roux · 2019 · IFIP Wireless Days
  52. An Interactive Traffic Replay Method in a Scaled-Down Environment
    Hongri Liu, Lun An, Jiawei Ren, Bailing Wang · 2019 · IEEE Access
  53. 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
  54. A Novel SDN-Based Application-Awareness Mechanism by Using Deep Learning
    Nan Hu, Fangjun Luan, Xiaoxi Tian, Chengdong Wu · 2020 · IEEE Access
  55. GrGym
    Anatolij Zubow, Sascha Rösler, Piotr Gawłowicz, Falko Dressler · 2021 · IEEE Workshop on Mobile Computing Systems and Applications (WMCSA)
  56. DAM: A Theoretical Framework for SensorSecurity in IoT Applications
    Bisma Gulzar, Ankur Kumar Gupta · 2021 · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING
  57. An investigation into the reliability of speaker recognition schemes: analysing the impact of environmental factors utilising deep learning techniques
    Omar Ratib Khazaleh, Leen Ahmed Khrais · 2024 · Journal of Engineering and Applied Science
  58. Exploring Lightweight Deep Learning Techniques for Intrusion Detection Systems in IoT Networks: A Survey
    Hind Ali abdul Hassan · 2024 · Journal of Electrical Systems
  59. Artificial Neural Network for Transient Stability Assessment: A Review
    Umair Shahzad · 2024 · International Conference on Automation and Computing (ICAC)
  60. Vehicle Type Recognition From Surveillance Data Based on Deep Active Learning
    Xing-Hao Ding, Jitian Wang, Cheng-Wei Dong, Yue Huang · 2020 · IEEE Transactions on Vehicular Technology
  61. AI-Driven Partial Topology Discovery Algorithm for Broadband Networks
    Kübra Duran, Bahtiyar Karanlik, Berk Canberk · 2021 · IEEE Consumer Communications and Networking Conference
  62. Near-optimal responsive traffic engineering in software defined networks based on deep learning
    Mohammed I. Salman, Bin Wang · 2022 · Future Generation Computer Systems
  63. Granular Network Traffic Classification on Mobile Application Service for Better Parental Control
    J P Dhivvya, Guru Aswini Dath, Mahesh Kumar Chinta, Ankit Karki · 2024 · IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
  64. A Deep Learning Based Transmission Algorithm for Mobile Device-to-Device Networks
    Tae-Won Ban, Woongsup Lee · 2019 · Electronics
  65. Blind LTE-U/WiFi Coexistence System Using Convolutional Neural Network
    Min Yang, Yaoliang Song, Changxin Cai, Hao Gu · 2019 · IEEE Access
  66. An intelligent routing method based on network partition
    Zheheng Rao, Yanyan Xu, Shaoming Pan · 2020 · Computer Communications
  67. Deep Learning Model Reuse and Composition in Knowledge Centric Networking
    Dolly Sapra, Andy D. Pimentel · 2020 · International Conference on Computer Communications and Networks (ICCCN)
  68. Leveraging the Power of Machine Learning for Performance Evaluation Prediction in Wireless Sensor Networks
    Siham Zroug, Ikram Remadna, Laïd Kahloul, Saber Benharzallah, Labib Sadek Terrissa · 2021
  69. Data classification and reinforcement learning to avoid congestion on SDN-based data centers
    Gustavo Diel, Charles C. Miers, Maurício A. Pillon, Guilherme Koslovski · 2022 · Globecom
  70. Overview of Artificial Intelligence and Machine Learning
    Nur Zincir-Heywood, Marco Mellia, Yixin Diao · 2021 · Wiley eBooks
  71. Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction
    Liang Chu, Zhuoran Hou, Jingjing Jiang, Jun Yang, Yuanjian Zhang · 2023 · IEEE Transactions on Intelligent Vehicles
  72. Neural Networks in Selected Aspects of Communications and Networking
    Piotr Boryło, Edyta Biernacka, Jerzy Domżał, Bartosz Kądziołka, Mirosław Kantor, Krzysztof Rusek, Maciej Skała, Krzysztof Wajda, Robert Wójcik, Wojciech Ząbek · 2024 · IEEE Access
  73. SRv6 and Zero-Trust Policy Enabled Graph Convolutional Neural Networks for Slicing Network Optimization
    Xin Wang, Bo Yi, Qing Li, Shahid Mumtaz, Jianhui Lv · 2025 · IEEE Journal on Selected Areas in Communications
  74. Emerging Trends in Machine Learning
    Jayesh Gaur, Akshay Kumar Goel, Ajay Rose, Bharat Bhushan · 2019 · International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)
  75. Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things
    Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Steven Zhang · 2021 · IEEE World Forum on Internet of Things (WF-IoT)
  76. Automated building classification framework using convolutional neural network
    Augusta Adha, Arya Panji Pamuncak, Wen Qiao, Irwanda Laory · 2022 · Cogent Engineering
  77. Resource Efficient Federated Deep Learning for IoT Security Monitoring
    Idris Zakariyya, Harsha Kalutarage, Mhd Omar Al-Kadri · 2022 · Lecture notes in computer science
  78. Improved Political Optimizer and Deep Neural Network-based Resource Management Strategy for fog Enabled Cloud Computing
    M. Prakash, V Vijayaganth, Finney Daniel Shadrach, R. Menaha, T. Daniya, Tapas Guha · 2022 · IEEE Mysore Sub Section International Conference (MysuruCon)
  79. Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction
    Marius G. Minea, Viviana Laetitia Minea, Augustin Semenescu · 2023 · Sensors
  80. Smart Traffic Control System for Dubai: A Simulation Study Using YOLO Algorithms
    Rabia Emhamed Al Mamlook, Mohammad Zahrawi, Hasan Gharaibeh, Ahmad Nawaf Nasayreh, Sujeet Shresth · 2023 · IEEE International Conference on Electro Information Technology
  81. RETRACTED ARTICLE: Cyber Security Threats Detection in IoT Using Krill Based Deep Neural Network Stacked Auto Encoders
    Pragati Rana, Sanjeev Chauhan, B. P. Patil · 2024 · Wireless Personal Communications · Retracted
  82. Tankmate Design for Settings Filter, Temperature, and Light on Aquascape
    Tata Sutabri, Yohanes Bowo Widodo, Sondang Sibuea, Ismi Rajiani, Yaziz Hasan · 2019 · Journal of Southwest Jiaotong University
  83. Efficient Hardware Implementations of Deep Neural Networks: A Survey
    Sunny Bodiwala, Nirali R. Nanavati · 2020 · International Conference on Inventive Systems and Control (ICISC)
  84. Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
    Md. Shirajum Munir, Ki Tae Kim, Kyi Thar, Dusit Tao Niyato, Choong Seon Hong · 2022 · IEEE Internet of Things Journal
  85. A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment
    Fan Ding, Yongyi Zhang, Rui Chen, Zhanwen Liu, Huachun Tan · 2022 · Journal of Advanced Transportation
  86. A Probabilistic Approach to Deploying Disaster Response Network
    Hiroki Nishiyama, Tiago Koketsu Rodrigues, Jiajia Liu · 2018 · IEEE Transactions on Vehicular Technology
  87. Secured Energy-Efficient Routing in Wireless Sensor Networks Using Machine Learning Algorithm
    Ahona Ghosh, Chiung Ching Ho, Robert Bešťák · 2020 · Advances in information security, privacy, and ethics book series
  88. A Survey on Applications of Deep Learning in Cloud Radio Access Network
    Rehenuma Tasnim Rodoshi, Wooyeol Choi · 2021 · IEEE Access
  89. First-Order Efficient General-Purpose Clean-Label Data Poisoning
    Tianhang Zheng, Baochun Li · 2021 · IEEE Conference on Computer Communications (INFOCOM)
  90. Risk-Averse Transmission Path Selection for Secure State Estimation in Power Systems
    Jiasheng He, Cailian Chen, Shanying Zhu, Bo Yang, Xinping Guan · 2018 · IEEE Internet of Things Journal
  91. The Future of Artificial Intelligence and Machine Learning in Online Social Networking
    Amit Kumar Tyagi, Ajanthaa Lakkshmanan, Sayed Sayeed Ahmad · 2024
  92. Towards Programmable Networking With CoopNet: A Horizontal Parallel Multipath Approach
    Razvan Cristian Voicu, Yusun Chang · 2023 · 2012 International Conference on Computing, Networking and Communications (ICNC)
  93. Sequential Learning for Modeling Video Quality of Delivery Metrics
    Tautvydas Lisas, Ruairí de Fréin · 2023 · IEEE Access
  94. Two Decades of AI4NETS - AI/ML for Data Networks: Challenges & Research Directions
    Pedro Casas · 2020 · IEEE/IFIP Network Operations and Management Symposium (NOMS)
  95. An Investigation on the Impact of Machine Learning in Wireless Sensor Networks and Its Application Specific Challenges
    K. Praghash, Thangavel Karthikeyan, K. Suresh Kumar, R. Sekar, Rakesh Kumar, S. Arun Metha · 2020 · Lecture notes in electrical engineering
  96. A survey of applied machine learning techniques for optical orthogonal frequency division multiplexing based networks
    Hichem Mrabet, Elias Giacoumidis, Iyad Dayoub, Aymen Belghith · 2021 · Transactions on Emerging Telecommunications Technologies
  97. Artificial Intelligence Based Traffic Control for Edge Computing Assisted Vehicle Networks
    Songlin Chen Songlin Chen, Hong Wen Songlin Chen, Jinsong Wu · 2022 · 網際網路技術學刊
  98. A Modified DSR Protocol Using Deep Reinforced Learning for MANETS
    S. Jothi Lakshmi, M. Karishma · 2023 · IETE Journal of Research
  99. Deep Learning-Based Dependability Assessment Method for Industrial Wireless Network
    Danfeng Sun, Sarah Willmann · 2019 · IFAC-PapersOnLine
  100. FPGA‐based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme learning machine
    Mrutyunjaya Sahani, Bhanja Kishor Swain, P.K. Dash · 2020 · IET Image Processing