Dynamic traffic classification algorithm and simulation of energy Internet of things based on machine learning
- 3 January 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Neural Computing & Applications
- Vol. 33 (9), 3967-3976
- https://doi.org/10.1007/s00521-020-05457-7
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Efficient and robust feature extraction and selection for traffic classificationComputer Networks, 2017
- Classification of Encrypted Traffic With Second-Order Markov Chains and Application Attribute BigramsIEEE Transactions on Information Forensics and Security, 2017
- Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related featuresJournal of Cyber Security Technology, 2017
- Cognitive Networking with Dynamic Traffic Classification and QoS ConstraintsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Application identification via network traffic classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Medical Device Integration Model Based on the Internet of ThingsThe Open Biomedical Engineering Journal, 2015
- A Management Framework for Municipal Solid Waste Systems and Its Application to Food Waste PreventionSystems, 2015
- The Social Internet of Things (SIoT) – When social networks meet the Internet of Things: Concept, architecture and network characterizationComputer Networks, 2012
- Semi-supervised internet network traffic classification using a Gaussian mixture modelAEU - International Journal of Electronics and Communications, 2008
- An SVM-based machine learning method for accurate internet traffic classificationInformation Systems Frontiers, 2008