Issues and future directions in traffic classification
Cited by (630)
Items 401–500 of 630
- Classification of Network Game Traffic Using Machine LearningYuning Dong, Mi Zhang, Rui Hong Zhou · 2018 · Communications in computer and information science
- Performance Analysis of Machine Learning Algorithms Over a Network TrafficJakkula Varun, E. S. Vishnu Tejas, T. G. Keerthan Kumar · 2021 · Advances in intelligent systems and computing
- Analysis of Datasets for Network Traffic ClassificationSweta Keshapagu, Shan Suthaharan · 2013 · Springer proceedings in mathematics & statistics
- Header signature maintenance for Internet traffic identificationSung‐Ho Yoon, Jun‐Sang Park, Baraka D. Sija, Mi-Jung Choi, Myung‐Sup Kim · 2016 · International Journal of Network Management
- Adaptive Convolutional Neural Network Structure for Network Traffic ClassificationZhuang Han, Jianfeng Guan, Yan‐an Yao, Su Fen Yao · 2021 · IEEE International Conference on Parallel and Distributed Systems (ICPADS)
- Robust Machine Learning for Encrypted Traffic ClassificationAmit Z. Dvir, Yehonatan Zion, Jonathan Muehlstein, Ofir Pele, Chen Hajaj, Ran Dubin · 2016 · arXiv (Cornell University)
- Cbs: A Deep Learning Approach for Encrypted Traffic Classification with a Mixed Spatio-Temporal and Statistical Features ClassificationMehdi Seydali, Farshad Khunjush, Behzad Akbari, Javad Dogani · 2022 · SSRN Electronic Journal
- CLASSIFICATION OF NETWORK TRAFFIC USING MACHINE LEARNING MODELS ON THE NETML DATASETMessaoud Mezati · 2025 · International journal of Computer Networks & Communications
- A few-shot detection method for new types of network traffic attacks based on meta-learning with cross-attentionKai Shi, Penghao Ding, Jinsong Wang · 2025 · The Journal of Supercomputing
- An encrypted traffic classification method based on autoencoders and convolutional neural networksShengwei Xu, Jijie Han, Jianbo Wang, Yijie Bai · 2025 · PLoS ONE
- A multimodal and perturbation-aware learning approach for robust traffic classificationIdio Guarino, Giampaolo Bovenzi, Alfredo Nascita, Domenico Ciuonzo, Damiano Carra B, Antonio Pescapè · 2026 · Computer Networks
- Cryptanalysis of an Image Cipher using Multi entropy Measures and the CountermeasuresRam Ratan, Arvind Yadav · 2020 · Defence Science Journal
- Encrypted DNS Traffic Analysis for Service Intention InferringXiaodong Zang, Jian Gong, Maoli Wang, Peng Gao · 2023 · IEEE Transactions on Network and Service Management
- An Adaptive Ensembled Neural Network-Based Approach to IoT Device IdentificationJingrun Ma, Yafei Sang, Yongzheng Zhang, Xiaolin Xu, Beibei Feng, Yuwei Zeng · 2022 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Encrypted Network Traffic Classification using Deep LearningShivam Ruhil, Saumya Bhadauria, Jai Prakash Kushwaha · 2024 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
- Traffic through two lenses: A dual-branch vision transformer for IoT traffic classificationWen Yang, Chenxi Tang, Chaowei Tang, Jingwen Lü, Jing Si, Zhuo Zeng, Wenyu Ma · 2025 · Computer Networks
- Internet Traffic Classification: A SurveyGargi Srivastava, Maheshwari Prasad Singh, Prabhat Kumar, J. P. Singh · 2016 · International Conference on Recent Advances in Mathematics, Statistics and Computer Science
- Implementation of network traffic classifier using semi supervised machine learning approachVinod Shantaram Mahajan, Bhupendra Verma · 2012 · Nirma University International Conference on Engineering
- Comprehensive approach for optimization traffic routing and using network resources in a virtual data centerIrina Pavlovna Bolodurina, Denis Parfenov · 2018 · Procedia Computer Science
- A Method for TLS Malicious Traffic Identification Based on Machine LearningWei Wang, Cheng Sheng Sun, Jia Ning Ye · 2021 · Advances in science and technology
- Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural NetworksYuwei Sun, Hideya Ochiai, Hiroshi Esaki · 2022 · IEEE Consumer Communications and Networking Conference
- DA-Transfer: A Transfer Method for Malicious Network Traffic Classification with Small Sample ProblemRuonan Wang, Jinlong Fei, Min Zhao, Rongkai Zhang, Maohua Guo, Xue Li, Zan Qi · 2022 · Electronics
- Positive and Unlabeled Learning for Mobile Application Traffic ClassificationJason Hussey, Kerri Stone, Tracy K. Camp · 2022 · IEEE Military Communications Conference (MILCOM)
- Machine Learning Empowered Intelligent Data Center NetworkingTing Wang, Bo Li, Mingsong Chen, Shui Yu · 2022 · SpringerBriefs in computer science
- Activity Detection from Encrypted Remote Desktop Protocol TrafficLukasz Lapczyk, David B. Skillicorn · 2023 · Lecture notes in computer science
- Secure Sensitive Information on IoT using Machine LearningS R Nagendiran, R. Renugadevi, R. P. Anto Kumar, K. Sasirekha, R. Harini · 2023 · International Conference on Sustainable Communication Networks and Application (ICSCNA)
- Identification of user behavior from flow statisticsShingo Ata, Yusuke Iemura, Nobuyuki Nakamura, Ikuo Oka · 2017 · Asia-Pacific Network Operations and Management Symposium (APNOMS)
- Self-Organizing Deep Learning Model for Network Traffic ClassificationU. Prabu, Vaithianathan Geetha · 2022 · Lecture notes in networks and systems
- A Survey of techniques for fine-grained web traffic identification and classificationXiaolin Gui, Yuanlong Cao, Ilsun You, Lejun Ji, Yong Cheng Luo, Zhenzhen Luo · 2022 · Mathematical Biosciences & Engineering
- Rule-based User Behavior Detection System for SaaS ApplicationJee-Tae Park, Ui-Jun Baek, Myung‐Sup Kim, Min-Seong Lee, Chang-Yui Shin · 2022 · Asia-Pacific Network Operations and Management Symposium (APNOMS)
- ITCM: A Real Time Internet Traffic Classifier MonitorSilas Santiago Lopes Pereira, Jose Everardo Bessa Maia, Jorge Luiz de Castroe Silva · 2014 · International Journal of Computer Science and Information Technology
- On the Internet Traffic Classification: a Multi-criteria Decision Making ApproachIhab Sbeity, Bassem Haidar, Mohamed Dbouk · 2016 · Journal of Computer Sciences and Applications
- Network Traffic Classification Model Based on MDL CriterionYing Zhao, Junjun Chen, Guohua You, Jian Teng · 2016 · Lecture notes in electrical engineering
- Internet Traffic ProfilingStênio Fernandes · 2017 · Springer eBooks
- Markov Chain Based Priority Queueing Model for Packet Scheduling and Bandwidth AllocationReema Sharma, Navin Kumar, T. Srinivas · 2017 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Network Traffic Classification using Genetic Algorithms based on Support Vector MachineJie Cao, Zhiyi Fang · 2016 · International Journal of Security and Its Applications
- A Multi-View Deep Learning Model for Encrypted Website Service ClassificationKaiqi Liang, Gaopeng Gou, Cuicui Kang, Chang Liu, Min Yang, Yu Guo · 2019 · Globecom
- Network Traffic Classification Based on Domain Adaptive Migration for Multimedia Services in Smart City NetworksBowen Gao, Yang Yang, Zhipeng Gao, Longjun Zhao, Zhen Wang, Dandan Cui · 2022 · IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
- An interpretable intrusion detection method based on few-shot learning in cloud-ground interconnectionYun Zhang, Guoqiang Li, Qianqian Duan, Jianzhen Wu · 2022 · Physical Communication
- Network traffic classification from handcrafted features to foundation models: A comprehensive surveyRamazan Enisoglu, Burak Alp Inan · 2026 · Computer Networks
- A Lightweight Software Model for Signature-Based Application-Level Traffic Classification SystemJun‐Sang Park, Sung‐Ho Yoon, Youngjoon Won, Myung‐Sup Kim · 2014 · IEICE Transactions on Information and Systems
- Open Source Software Usage in Education and ResearchSamih M. Jammoul, Сюзев Владимир Васильевич, Ark M. Andreev · 2021 · IGI Global eBooks
- Batch classifier with adaptive update for backbone traffic classificationHua Wu, Weina Li, Xiying Chen, Guang Cheng, Xiaoyan Hu, Youqiong Zhuang · 2023 · Computer Communications
- An encrypted traffic classification model based on the raw traffic and spatiotemporal characteristicsGuanglong Zhao, Zhen Wang, Ziheng Yang · 2022 · International Conference on Electronic Information Technology and Computer Engineering (EITCE)
- Traffic Prediction with Network Slicing in 5G: A SurveyDhanashree A. Kulkarni, Mithra Venkatesan, Anju V. Kulkarni · 2023 · International Conference on Artificial Intelligence and Smart Energy (ICAIS)
- Towards to Characterization of Network Management Traffic in OpenStack-Based CloudsAdnei Willian Donatti, Charles C. Miers, Guilherme Koslovski, Maurício A. Pillon, Tereza Cristina Melo de Brito Carvalho · 2023 · SN Computer Science
- Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming EncryptionArwin Gansekoele, Tycho Bot, Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn · 2023 · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
- gShock: A GNN-Based Fingerprinting System for Permissioned Blockchain Networks Over Encrypted ChannelsMinjae Seo, Jaehan Kim, Myoungsung You, Seungwon Shin, Jinwoo Kim · 2024 · IEEE Access
- Research on Network Encrypted Traffic Detection Technology Based on CNN+LSTMYuqing Cui, Aihua Li · 2024 · International Conference on Signal Processing and Intelligent Computing (SPIC)
- A real-time network traffic classification system using cost-sensitive deep neural networksChandrashekhar Bechoo, Avinash Mungur · 2024 · Journal of Ambient Intelligence and Smart Environments
- Single Model Scheme-based Smith Predictor for the Mitigation of the effects of Network Imperfections in Consensus Control of Multi Agent SystemsLoaie Solyman, Ayman El-Badawy, Ansgar Meroth · 2024 · International Conference on Control, Decision and Information Technologies (CoDIT)
- Traffic Classification Method by Combination of Host Behaviour and Statistical ApproachYing Hou, Hai Huang, Wenchao Shao, Heqing Huang · 2014 · Journal of Engineering Science and Technology Review
- Stochastic Traffic Identification for Security Management: eDonkey Protocol as a Case StudyRafael Alejandro Rodríguez-Gómez, Gabriel Maciá‐Fernández, Pedro García‐Teodoro · 2013 · Lecture notes in computer science
- Popularity of websites: HTTP Traffic AnalysisJavlonbek Abdujalilov · 2014 · Asian Journal of Computer and Information Systems
- Application Traffic Classification using PSS SignatureJae-Hyun Ham, Hyun-Min An, Myung‐Sup Kim · 2014 · KSII Transactions on Internet and Information Systems
- Hierarchical RBF Neural Network Using for Early Stage Internet Traffic IdentificationLizhi Peng, Bo Yang, Yuehui Chen · 2014 · IEEE International Conference on Computational Science and Engineering (CSE)
- RangeTree: A Feature Selection Algorithm for C4.5 Decision TreeHui Zhu, Siyu Chen, Lexiang Zhu, Hui Li, Xiaofeng Chen · 2013 · International Conference on Intelligent Networking and Collaborative Systems (INCoS)
- A novel content-aware multipath routing concept exploiting random utility theory principlesPetros Anapliotis, Evangelos Markakis, Anargyros Sideris, Evangelos Pallis, Daniel Négru · 2012 · International Conference on Telecommunications and Multimedia (TEMU)
- Mini-IPC: A minimalist approach for HTTP traffic classification using IP addressesPedro Casas, Pierdomenico Fiadino · 2013 · International Wireless Communications and Mobile Computing Conference (IWCMC)
- Enterprise Network Status Analysis Using Hadoop and LuceneGang He, Yijian Xiao, Decheng Yu, Xiaochun Wu · 2015 · International Conference on Intelligent Human-Machine Systems and Cybernetics
- Network Traffic Analysis Using Principal Component GraphsHarsha Sai Thota, V. Vijaya Saradhi, Venkatesh Tamarapalli · 2013
- A GPU-accelerated parallel network traffic analysis systemJing Jing Hu, Ru Feng An, Lie Huang Zhu · 2015 · International Journal of Wireless and Mobile Computing
- Automatic protocol feature word construction based on machine learningHaifeng Li, Bin Zhang, Bo Shuai, Jian Wang, Chaojing Tang · 2015 · IEEE International Conference on Progress in Informatics and Computing
- Hadoop based Deep Packet Inspection system for traffic analysis of e-business websitesJiangtao Luo, Yan Liang, Wei Chun Gao, Junchao Yang · 2014 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
- Privacy and security gaps in mitigating Cyber crime: The reviewAmna Binti Saad, Ahmad Roshidi Amran, Afif Ijlal Ibrahim, Ahmad Hariri Zolkeple, Aidy Izzuddin Ahmad Said, Muhammad Fiqri Hamzah, Wan Nor Salwani Wan Salim · 2016 · International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR)
- A New Network Traffic Classification Method Based on Classifier IntegrationLuoshi Zhang, Xue Yibo, Yuanyuan Bao · 2015 · International Journal of Grid and Distributed Computing
- SDN Based Content-Centric QoS-Guaranteed for Wireless Multimedia Sensor NetworksGaolei Li, Jun Wu, Jianhua Li, Kuan Wang, Shan He · 2018 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Open Source Software Usage in Education and ResearchSamih M. Jammoul, Сюзев Владимир Васильевич, Ark M. Andreev · 2018 · Advances in higher education and professional development book series
- Hierarchical Neural Networks for Detecting Anomalous Traffic FlowsSeung‐Jin Ryu, Wooyoung Go, Daewoo Lee, Hanjun Yoon · 2019 · Globecom
- Future Direction of Traffic Classification in SDN from Current Patents Point-of-viewFatimah Audah, Tan Saw Chin, Rizaluddin Kapsin, Nazaruddin Omar, Ahmad Tajuddin · 2019 · International Computer Engineering Conference
- Traffic Type Recognition Method for Unknown Protocol—Applying Fuzzy InferenceSangwon Kim, Kee-Cheon Kim · 2020 · Electronics
- Network Traffic Classification Model Based on Multi-Task LearningShuaibao Nie, Lifen Jiang, Huazhi Sun, Chunmei Ma, Yan Liang, Yongheng Zhou, Ying Zuo · 2020 · Journal of Physics Conference Series
- Algorithms in Decision Support SystemsVicente García‐Díaz · 2021 · MDPI eBooks
- Community Network Traffic Classification Using Two-Dimensional Convolutional Neural NetworksShane Weisz, Josiah Chavula · 2022 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Deep Learning Based Identification Method for Signal-Level Wireless ProtocolJie Ren, Shuai Li, Yihao Song, Ming Li · 2022 · IEEE Access
- Auto Adaptive Identification Algorithm Based on Network Traffic FlowShi Dong, Xingang Zhang, Dingding Zhou · 2014 · International Journal of Computers Communications & Control
- A research on identification method for WiFi-based home automation device suitesKefei Cheng, Xiaoxia Liu, Rui Zhang, Feng Lin · 2017 · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
- Detection of Anonymised Traffic: Tor as Case StudyBruno Dantas, Paulo Carvalho, Solange Rito Lima, João Marco C. Silva · 2020 · Lecture notes in computer science
- An N-gram Based Deep Learning Method for Network Traffic ClassificationXiaojuan Wang, Kaiwen Lv Kacuila, Mingshu He · 2021 · Lecture notes in computer science
- Evaluation of Supervised Machine Learning for Classifying Video TrafficFarrell R. Taylor · 2016 · NSUWorks (Nova Southeastern University)
- Knowledge-defined networking : a machine learning based approach for network and traffic modelingAlbert Mestres · 2017
- Network Traffic Characterization Using (p,n)-grams Packet RepresentationAbdulrahman Hijazi · 2014
- Profiling of secure chat and calling apps from encrypted trafficM.A.K. Sudozai, Shahzad Saleem · 2018 · International Bhurban Conference on Applied Sciences and Technology (IBCAST)
- A method to generate a ground truth distributed network traffic datasetXufeng Zhu, Nina Shu, Bowen Zheng, Wangshu Guo · 2022 · International Conference on Control, Robotics and Intelligent System (CCRIS)
- MTD-RTPE: A Malicious Traffic Detection Method Based on Relative Time-Delay Positional EncodingJingyu Liu, Chunfang Yang, Ma Zhu, Baojun Qi, Xueyuan Fu, Mengyang Zhou · 2023 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
- A lightweight encrypted packet priority classification framework for Cognitive radio enabled Industrial IoT NetworksBikash Mazumdar, Sanjib Kumar Deka · 2024 · International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT)
- A network traffic classification method based on comprehensive feature extraction and adaptive fusion networksShasha Zhao, Xiangnan Feng, Yu Tao, He Chen, Di Zhang, Dengyin Zhang · 2025 · Computer Networks
- Foundational Algorithms for Modern Cybersecurity: A Unified Review on Defensive Computation in Adversarial EnvironmentsPaul Aurelian Gagniuc · 2025 · Algorithms
- Designing a hybrid approach for multivariate network attack forecasting and detectionSoo-Yeon Ji, Bong Keun Jeong, Dong Hyun Jeong · 2025 · Computer Networks
- Privacy-Preserving Machine Learning for Encrypted Traffic Classification in Secure Cloud ServicesSultan Almuhammadi, Nahad Alnahari, Rana Ba-amer · 2025 · IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
- Encrypted Network Traffic Feature Extraction for Application Classification최양서, Jaehak Yu, Kijong Koo, Daesung Moon · 2025 · International Conference on Information and Communication Technology Convergence (ICTC)
- Interpretable Detection of Encrypted Traffic Using SHAP-Based Feature AttributionJiwon Suh, Juwon Hong, Mose Gu, Jaehoon Paul Jeong · 2025 · International Conference on Information and Communication Technology Convergence (ICTC)
- Congestion versus accuracy tradeoffs in IP traffic classificationMartin Valdez-Vivas, Nicholas Bambos · 2013 · Globecom
- Classifying peer-to-peer traffic using protocol hierarchySomnuk Puangpronpitag, Thongchai Chuachan, Pornntiwa Pawara · 2014
- A Study on Application Layer Classification for Firewalls Using Regular Expression MatchingJonathan A.P. Marpaung, Muhammad Agni Catur Bhakti, Setiadi Yazid · 2013 · International Conference on Advanced Computer Science Applications and Technologies
- Lame' curve-based signature discovery learning technique for network traffic classificationShan Suthaharan, Laxmi Sunkara, Sweta Keshapagu · 2013 · IEEE International Conference on Intelligence and Security Informatics (ISI)
- Waterfall Traffic Identification: Optimizing Classification CascadesPaweł Foremski, Christian Callegari, Michele Pagano · 2015 · Communications in computer and information science
- Comprehensive analysis of AggSessAC method for revenue maximization using OMNeT++Andris Skrastiņš, Jans Jeļinskis, Gunars Lauks · 2015 · IEEE Symposium on Computers and Communications (ISCC)
- Video Stream Identification for Traffic EngineeringKazumasa Oida, Naoto Nakayama · 2013 · International Journal of Future Computer and Communication
- Performance Improvement of Traffic Classification Based on Application Traffic LocalityJun‐Sang Park, Sung‐Ho Yoon, Su-Kang Lee, Youngjoon Won, Myung‐Sup Kim · 2016 · Journal of information science and engineering