Issues and future directions in traffic classification
Dainotti, Alberto, Pescape, Antonio, Claffy, Kimberly·2012·IEEE Network
Cited by (630)
Items 501–600 of 630
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- A Probabilistic Counting Framework for Distributed MeasurementsNicola Bonelli, Christian Callegari, Gregorio Procissi · 2019 · IEEE Access
- Auto-generating training data for network application classificationCarlos Alcantara, Venkat R. Dasari, Christopher Mendoza, Michael McGarry · 2019 · Disruptive Technologies in Information Sciences
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- Federated Semi-Supervised Classification of Multimedia Flows for 3D NetworksSaira Bano, Achilles Machumilane, Lorenzo Valerio, Pietro Cassará, Alberto Gotta · 2022 · IEEE Mediterranean Electrotechnical Conference (MELECON)
- A Network Traffic Classification Model Based On XGBOOST_RFECV Feature ExtractionMing Li, Guikai Liu · 2022 · International Conference on Advanced Information Science and System (AISS)
- Network Traffic Analysis Method Using the Fusion of Dynamic-Static Features based on Stacked Attention MechanismZiheng Huang, Bolin Chen, Yiting Zhao · 2023 · International Conference on Networks, Communications and Information Technology (CNCIT)
- Edge Computing Based Traffic Identification in Elastic Optical Networks for Smart Power GridZhiang Du, Xiukun Pang · 2023 · International Conference on Electronic Engineering and Informatics (EEI)
- A review of few-shot network traffic classification based on deep learningKai Yang, R. Wang, Meng Qi, Long Meng, Zan Qi, Xue Li, Jinlong Fei · 2023
- An Intrusion Detection System Using Vision Transformer for Representation LearningXinbo Ban, Ao Liu, Long He, Li Gong · 2024 · Communications in computer and information science
- PaBiL-Net: Parallel Bidirectional LSTM Network for Mobile Encrypted Traffic ClassificationBin Cheng, Fushan Wei, Chunxiang Gu · 2024 · Communications in computer and information science
- Enabling locality-sensitive machine learning towards low predictive overhead in flow classificationWen-zhi LI, Lin Cui, Xiaoquan Zhang · 2024 · Computer Networks
- Building robust traffic classifier under low quality data: A federated contrastive learning approachTian Qin, Guang Cheng, Zhichao Yin, Yichen Wei, Zifan Yao, Zihan Chen · 2025 · Digital Communications and Networks
- Fault Tolerance Identification of Application Layer Protocols Based on Protocol Natural Redundancy DecodingGuoxian Yu, Xiaomin Ran, Hongyi Yu, Yongbin Li, Renpeng Zha, Yaozhou Ma · 2025 · International Conference on Computing, Networks and Internet of Things (CNIOT)
- Optimal resource allocation in Hybrid Packet/optical Circuit Switched networksWeiqiang Sun, Zhangxiao Feng, Weisheng Hu · 2016 · International Conference on Transparent Optical Networks
- Waterfall Traffic Classification: A Quick Approach to Optimizing Cascade ClassifiersPaweł Foremski, Christian Callegari, Michele Pagano · 2016 · Wireless Personal Communications
- An approach for classification of network traffic on semi-supervised data using clustering techniquesDheeraj Basant Shukla, Gajendra Singh Chandel · 2013 · Nirma University International Conference on Engineering
- CAEN: A Deep Learning Approach to Mobile App Traffic IdentificationLi Ding, Yuefei Zhu, Wei Y. Lin, Yan Chen · 2019 · International Conference on Computational Science and Computational Intelligence (CSCI)
- Abnormal Traffic Detection of Industrial Edge Network Based on Deep Nature LearningQi Liu, Bowen Zhang, Jianming Zhao, Chuanzhi Zang, Xibo Wang, Tong Li · 2021 · Lecture notes in computer science
- Method for filtering encrypted traffic using a neural network between an Industrial Internet of things system and Digital TwinIvan Luksha, Truong Duy Dinh, Evgenii Karelin, Ruslan Ivanovich Glushakov, Ruslan Kirichek · 2021 · International Conference on Future Networks and Distributed Systems (ICFNDS)
- Measure the Non-standard Port of Popular Protocols2020 · International Workshop on Computer Science and Engineering (WCSE)
- Network Topology Classification in SDN Ecosystem using Machine LearningKAVITA AHIRE, Jyoti Yadav · 2022 · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING
- Encrypted Traffic Classification Based on a Convolutional Neural NetworkZhuhong Ma, Kunyang Li, Zongyu Li, Yao Liu · 2022 · Journal of Physics Conference Series
- A combined-CNN model of TLS Traffic Recognition and ClassificationYunfan Tian, Dongxin Liu, Laifu Wang, Bowen Hu · 2022 · IEEE International Conference on Data Science in Cyberspace
- Analytical modelling of Internet provision and usage in context of development through a utility based frameworkElly Amani Gamukama · 2015 · DiVA (Stockholm University)
- When to Triage in Service Systems with Hidden Customer Class Identities?Zhankun Sun, Nilay Tanık Argon, Serhan Ziya · 2019 · SSRN Electronic Journal
- Application of advanced machine learning techniques to early network traffic classificationSantiago Egea Gómez · 2020
- Active Learning for Network Traffic Classification: A Technical SurveyAmin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut · 2021 · arXiv (Cornell University)
- Machine Learning-Based Classification of Digital Media TrafficYan-shuang Zhou, Xiangyu Han, Ling-hui Liu, Zhi-han Dong · 2023 · Preprints.org
- MLST-FENet: Network traffic classification based on multilevel spatiotemporal feature fusion enhancementYu Zhang, Xuecheng Yu, Yan Huang, Xiaoyan Zhang, Zhenhong Jia, Xizhong Qin · 2023 · Research Square
- Cyber Threat Intelligence with Symmetry for Zero-Trust SecurityPedro Ramos Brandão · 2025 · Preprints.org
- Machine learning-Enabled Network Traffic AnalysisOns Aouedi · 2022
- Novel Cryptographic Primitives and Protocols for Censorship ResistanceKevin P. Dyer · 2000
- Flow-aggregation Accelerating Strategy for TCP TrafficXiaoguo Zhang, Wei Ding · 2014 · Journal of Networks
- Machine Learning Models for Feature SelectionLjiljana Trajkovi · 2013
- Support of resource-aware vertical handovers in WLAN hotspotsSven Wiethölter · 2014 · DepositOnce
- 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
- Stability of flow features for the identification of Internet applicationsM. Rosário Oliveira, Rui Valadas, Marcin Pietrzyk, Denis Collange · 2014 · International Telecommunications Network Strategy and Planning Symposium
- Peeking Network States with Clustered PatternsJinoh Kim, Alex Sim · 2015
- Support of Resource-Aware Vertical Handovers in WLAN HotspotsDoktor der Ingenieurwissenschaften · 2014
- User-Centric Traffic Engineering in Software Defined NetworksTaimur Bakhshi · 2017 · PEARL (University of Plymouth)
- ITCM: A REAL TIME INTERNET TRAFFICSilas Santiago, Lopes Pereira, José Everardo, Jorge Luiz · 2014
- Automatic Traffic Classification Using Machine Learning Algorithm for Policy-Based Routing in UMTS–WLAN InterworkingV. Anantha Narayanan, Varsha Sureshkumar, A. Rajeswari · 2014 · Advances in intelligent systems and computing
- Towards a real application-aware networkLeo Caldarola, Amine Choukir, Davide Cuda, Marco Dondero, Domenico Ficara, Roberto Muccifora, Libor Polčák, Antonio Trifilo · 2015
- Behavioural Monitoring via Network CommunicationsGaseb N. Alotibi · 2017 · PEARL (University of Plymouth)
- Internet Traffic Management Under EU Regulation 2015/2120 – The Need for the Co-operation of Legal and Computer ScientistsAndrzej Nałęcz · 2018 · Advances in intelligent systems and computing
- FastQ: QoS Control Based on the Time Sequence of First Few PacketsAung Kaung Myat, Masaru Onodera, Yoshito Tobe · 2018 · International Conference on Computer Communications and Networks (ICCCN)
- A Prediction-based Approach for Anomaly Detection in the CloudBruno L. Dalmazo, João P. Vilela, Marília Curado · 2019 · Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC)
- Embedded Classifiers for Energy-Constrained IoT Network SecurityJennifer Hasler · 2018 · Springer eBooks
- Big Data in Mobile NetworksPierdomenico Fiadino, Marc Torrent‐Moreno · 2018 · Encyclopedia of Big Data Technologies
- Anonymized searches and their tracingDayanand, Mohini Chauhan · 2019 · International Conference on Issues and Challenges in Intelligent Computing Techniques
- A LEAP TOWARDS DEEP LEARNING FOR INVESTIGATING TOR TRAFFICVindhya Rani Koluru, M. Sampath Kumar · 2020 · Journal of Emerging Technologies and Innovative Research
- DSM: Delayed Signature Matching in Deep Packet InspectionYingpei Zeng, Shanqing Guo, Ting Wu, Qiuhua Zheng · 2020 · Symmetry
- Protocol Misidentification Made Easy with Format-Transforming EncryptionKevin P. Dyer, Scott E. Coull, Thomas Ristenpart, Thomas Shrimpton · 2012
- Classificação do tráfego de rede do serviço de mensageria do OpenStackAdnei Willian Donatti, Charles C. Miers, Guilherme Koslovski · 2020 · Escola Regional de Redes de Computadores (ERRC)
- Encrypted Traffic ClassificationYuxiang Ma, Yulei Wu, Jingguo Ge · 2020 · Springer eBooks
- Traffic Density Based Signal Control SystemDeepali Malhotra · 2019 · Journal of Emerging Technologies and Innovative Research
- Flow based Sequential Grouping System for Malicious Traffic DetectionJee-Tae Park, Ui-Jun Baek, Min-Seong Lee, Young‐Hoon Goo, Sungho Lee, Myung‐Sup Kim · 2021 · KSII Transactions on Internet and Information Systems
- Internet Traffic Classification using multi-classifier systemsAmjad Twalo, Tsuyoshi Murata · 2013 · Tokyo Tech Research Repository (Tokyo Institute of Technology)
- Evaluation Scheme for Traffic Classification SystemsYong Ting Zhao, Yuan Yuan, Yong Wang, Yao Yao, Gang Xiong · 2014 · Lecture notes in computer science
- Uso de GPUs en la administración del rendimiento de una red de computadorasMercedes Barrionuevo, Mariela Lopresti, Natalia Miranda, María Fabiana Piccoli · 2014 · El Servicio de Difusión de la Creación Intelectual (National University of La Plata)
- Evaluating Adversarial Learning Resilience on Various Encrypted Traffic ClassificationsRamy Maarouf · 2021
- AI Algorithms in NetworksSavo Glisic, Beatriz Lorenzo · 2022 · Wiley eBooks
- Early Stage Internet Traffic Identification Using Probabilistic Neural NetworksLizhi Peng · 2015 · International Journal of Computer and Communication Engineering
- Detection of VPNs using Machine LearningMs. Shipra Srivastava, H Harigovind, Devvrat Modi, Bassam Salim, Yashraj Mathur · 2022 · International Journal for Research in Applied Science and Engineering Technology
- Using Clustering Methods of Anomalies and Neural Networks to Conduct Additional Diagnostics of a Computer NetworkMaxim I. Avilov, Yulia Alexandrovna Shichkina, Mikhail S. Kupriyanov · 2022 · Studies in computational intelligence
- Big Data in Mobile NetworksPierdomenico Fiadino, Marc Torrent‐Moreno · 2019 · Encyclopedia of Big Data Technologies
- DETECTION OF VPNS USING MACHINE LEARNINGShipra Srivastava, H Harigovind, Devvrat Modi, Mohammad Bassam Salim, Yashraj Mathur · 2022 · International Journal of Engineering Applied Sciences and Technology
- Military Network Traffic Anomaly Detection Based on Discriminative Angular FeatureXu Chen, Li Yang, Qilong Huang · 2022 · Lecture notes in electrical engineering
- A NOVEL APPROACH TO ENHANCE THE PERFORMANCE OF MOBILE AD HOC NETWORK (MANET) THROUGH A NEW BANDWIDTH OPTIMIZATION TECHNIQUEMd. Torikur Rahman · 2019 · Applied Computer Science
- Classificação de tráfego em redes móveis inteligentes usando abordagem de aprendizado de máquinaRaimundo Guimarães Saraiva, Kaline Oliveira, Francisco Assis de Oliveira Nascimento · 2022 · Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
- Hidden Markov Model Based Traffic Identification Technology of Satellite Communication NetworkJiaying Li, Liujing Hu, Xianghui Hu, Zhao Liu, Liyuan Li, Zhixin Liu · 2022 · IEEE International Conference on Unmanned Systems (ICUS)
- TraCGAN: An Efficient Traffic Classification Framework Based on Semi-supervised Learning with Deep Conventional Generative Adversarial NetworkYixin Chen, Shuai Wang · 2023 · Communications in computer and information science
- A task recognition algorithm based on CNN-LSTM for The Space-Terrestrial Integrated NetworkYuheng Liu, Yang Li, Qilong Huang, Xu Chen · 2022 · China Automation Congress (CAC)
- A Recurrent Self-learning Labeler for Building Network Traffic Ground TruthQingya Yang, Chang Liu, Peipei Fu, Bingxu Wang, Gaopeng Gou, Gang Xiong · 2023 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
- Contribuciones para el diseño de servicios inteligentes de seguridad en redes NFV/SDN de operador TelcoAntonio Agustín Pastor Perales · 2023
- Contribuciones a la Aplicación de Machine Learning en Escenarios Novedosos de Tiempo RealStanislav Vakaruk · 2023
- Balancing Information Preservation and Data Volume Reduction: Adaptive Flow Aggregation in Flow Metering SystemsAdrián Pekár, Laszlo A. Makara, Winston K.G. Seah, Oscar Maurício Caicedo Rendón · 2023 · Híradástechnika/Infocommunications journal
- Research on Class Imbalance in Encrypted Traffic Datasets晓 王 · 2024 · Pure Mathematics
- A Network Traffic Anomaly Detection Method Based on Shapelet and KNNSi Yu, Xin Xie, Zhao Li, Wenbing Zhen, Tijian Cai · 2024 · Lecture notes in computer science
- Traffic Classification Method Based on Graph Convolution NetworkZhaotao Wu, Zhaohua Long · 2024 · Smart innovation, systems and technologies
- Machine Learning-Based Intrusion Detection System for Encrypted AttacksMaryam Sarmad Mohammed Ali, Fauzia Yasmin, Saida Sultana · 2024 · European Journal of Applied Science Engineering and Technology
- Encrypted Network Traffic Classification Using Deep and Parallel Network-In-Network ModelsLakku Vamsipriya, K Lavanya, Mudunuru Sujith Varma, Sanepalli Prasanth Reddy · 2024 · International Journal of Advanced Research in Science Communication and Technology
- Designing a Robust Network Traffic Annotator and Classifier Using Active Learning TechniqueV Ravi, A.S. Poornima · 2024 · Asia Pacific Conference on Innovation in Technology (APCIT)
- Classification of IPSec VPN Encrypted Traffic Based on a Hybrid MethodQi Song, Jia Liu, Caipu Zhang, Zhen Wang, Zhenkun Wei, Pengcheng Ma · 2024 · International Conference on Electronics, Computers and Communication Technology (CECCT)
- SCENE: Shape-based Clustering for Enhanced Noise-resilient Encrypted Traffic ClassificationMeijie Du, Mingqi Hu, Shu Li, Zhao Li, Qingyun Liu · 2024 · International Conference on Trust, Security and Privacy in Computing and Communications
- FXBoost: darknet user behavior classification based on two-stage ensemble learningJunyuan Zhang, Qingbing Ji, Lu Kang, Chengpeng Dai, Lulin Ni, Jie Luo · 2025 · International Conference on Computer Application and Information Security (ICCAIS)
- A Network Intrusion Detection Algorithm Based on Multi-layer Feature LearningShiwei Tang, Zhilong Li, You Lu, Xiaoyu Yang, Shigang Tang, Guangqiang Yin · 2025 · Lecture notes in electrical engineering
- Auto-TFCE: Automatic Traffic Feature Code Extraction Method and Its Application in Cyber SecurityJunjiang 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
- MTDIR: A Malicious Traffic Detection Model Based on the Image Retrieval PerspectiveZiang Li, Haonan He, Zhou Zhou, Cheng-Xiang Si · 2025 · International Conference on Multimedia Retrieval
- MetaSSL-ETD: Robust Detection of Malicious Encrypted Traffic Based on Semi-supervised Meta-learningYaohui Wang, Guanyao Du, Ye Lu, Chun Long, Wei Wan, Degang Sun · 2025 · Lecture notes in computer science
- An Innovative Botnet Revelation Framework for Competing Concerns in IoT (BRF-CCIoT)Priyang Bhatt, Bhaskar Thakker, Falgun N. Thakkar · 2025 · Springer eBooks
- Research on Lightweight Learning in the Field of Traffic AnalysisBen Qian, Xuan Sun, Mengyan Qiao, Chenxu Pei · 2025 · Lecture notes in operations research
- Zero in on the Target: A Composite Robust Model for Retrieving Information in Traffic Data to Discover Network AttacksZiang Li, Cheng-Xiang Si, Zhenyu Cheng · 2025 · ACM Multimedia
- JITI: Dynamic Model Serving for Just-in-Time Traffic InferenceXi Jiang, Shinan Liu, Saloua Naama, Francesco Bronzino, Paul Schmitt, Nick Feamster · 2025 · Proceedings of the ACM on Networking
- Flow-Based Metadata with Robust Machine Learning Approaches for Application Classification in Diverse Network TrafficV Ravi, A S Poornima · 2025 · Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB)
- Federated Incremental Learning for Encrypted Network Traffic ClassificationRaffaele Carillo, Francesco Cerasuolo, Antonio Pescapè, Eirini Kanaki, Periklis Chatzimisios · 2025 · International Conference on Blockchain Computing and Applications (BCCA)