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Application layer classification of Internet traffic using ensemble learning models

https://doi.org/10.1002/nem.2147
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11691730_11openalex-snapshot
Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/978-3-030-17795-9_10openalex-snapshot
Deep Learning vs. Traditional Computer Vision
inferredcites →https://doi.org/10.1007/978-3-319-95168-3_37openalex-snapshot
Personalized Service Degradation Policies on OTT Applications Based on the Consumption Behavior of Users
inferredcites →https://doi.org/10.1007/bf00116037openalex-snapshot
The strength of weak learnability
inferredcites →https://doi.org/10.1007/bf00117832openalex-snapshot
Stacked Regressions
inferredcites →https://doi.org/10.1007/s12243-020-00767-2openalex-snapshot
Scalable kernel convex hull online support vector machine for intelligent network traffic classification
inferredcites →https://doi.org/10.1016/j.ins.2018.10.039openalex-snapshot
Novel dynamic multiple classification system for network traffic
inferredcites →https://doi.org/10.1016/j.isprsjprs.2011.11.002openalex-snapshot
An assessment of the effectiveness of a random forest classifier for land-cover classification
inferredcites →https://doi.org/10.1016/j.jcss.2012.11.004openalex-snapshot
Unsupervised traffic classification using flow statistical properties and IP packet payload
inferredcites →https://doi.org/10.1016/j.proeng.2012.01.849openalex-snapshot
Network Anomaly Detection by Cascading K-Means Clustering and C4.5 Decision Tree algorithm
inferredcites →https://doi.org/10.1016/s0167-9473(01)00065-2openalex-snapshot
Stochastic gradient boosting
inferredcites →https://doi.org/10.1049/iet-net.2017.0065openalex-snapshot
RDClass : on using relative distance of keywords for accurate network traffic classification
inferredcites →https://doi.org/10.1088/1742-6596/1176/2/022006openalex-snapshot
Research on Multi-layer Classification Method of Network Traffic Based on Machine Learning
inferredcites →https://doi.org/10.1109/access.2019.2925300openalex-snapshot
Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy
inferredcites →https://doi.org/10.1109/access.2019.2942782openalex-snapshot
Consumption Behavior Analysis of Over the Top Services: Incremental Learning or Traditional Methods?
inferredcites →https://doi.org/10.1109/cis2018.2018.00045openalex-snapshot
Network Traffic Classification Method Based on Improved Capsule Neural Network
inferredcites →https://doi.org/10.1109/comsnets48256.2020.9027353openalex-snapshot
Efficient Keyword Matching for Deep Packet Inspection based Network Traffic Classification
inferredcites →https://doi.org/10.1109/conielecomp.2018.8327205openalex-snapshot
Classification of network anomalies in flow level network traffic using Bayesian networks
inferredcites →https://doi.org/10.1109/fccm.2012.47openalex-snapshot
Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA?
inferredcites →https://doi.org/10.1109/icdse.2012.6282329openalex-snapshot
Pruning of Random Forest classifiers: A survey and future directions
inferredcites →https://doi.org/10.1109/iih-msp.2006.264991openalex-snapshot
GA-Based Internet Traffic Classification Technique for QoS Provisioning
inferredcites →https://doi.org/10.1109/mnet.2012.6135854openalex-snapshot
Issues and future directions in traffic classification
inferredcites →https://doi.org/10.1109/mnet.2018.1800078openalex-snapshot
An Improved Stacked Auto-Encoder for Network Traffic Flow Classification
inferredcites →https://doi.org/10.1109/nca.2006.34openalex-snapshot
Identifying Known and Unknown Peer-to-Peer Traffic
inferredcites →https://doi.org/10.1109/surv.2008.080406openalex-snapshot
A survey of techniques for internet traffic classification using machine learning
inferredcites →https://doi.org/10.1109/surv.2008.080408openalex-snapshot
Contention avoidance and resolution schemes in bufferless all-optical packet-switched networks: a survey
inferredcites →https://doi.org/10.1109/tnet.2018.2868816openalex-snapshot
$BitCoding$ : Network Traffic Classification Through Encoded Bit Level Signatures
inferredcites →https://doi.org/10.1109/tnn.2006.883010openalex-snapshot
Bayesian Neural Networks for Internet Traffic Classification
inferredcites →https://doi.org/10.1109/tnsm.2020.2999856openalex-snapshot
BitProb: Probabilistic Bit Signatures for Accurate Application Identification
inferredcites →https://doi.org/10.1109/tpami.2009.187openalex-snapshot
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
inferredcites →https://doi.org/10.1109/tpds.2013.307openalex-snapshot
Internet Traffic Classification Using Constrained Clustering
inferredcites →https://doi.org/10.1109/wd.2019.8734193openalex-snapshot
On using eXtreme Gradient Boosting (XGBoost) Machine Learning algorithm for Home Network Traffic Classification
inferredcites →https://doi.org/10.1145/1028788.1028805openalex-snapshot
Class-of-service mapping for QoS
inferredcites →https://doi.org/10.1145/1030194.1015495openalex-snapshot
Building a better NetFlow
inferredcites →https://doi.org/10.1145/1080091.1080119openalex-snapshot
BLINC
inferredcites →https://doi.org/10.1145/1129582.1129589openalex-snapshot
Traffic classification on the fly
inferredcites →https://doi.org/10.1145/1159913.1159952openalex-snapshot
Algorithms to accelerate multiple regular expressions matching for deep packet inspection
inferredcites →https://doi.org/10.1145/1298306.1298349openalex-snapshot
Network monitoring using traffic dispersion graphs (tdgs)
inferredcites →https://doi.org/10.1145/1544012.1544023openalex-snapshot
Internet traffic classification demystified
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot
XGBoost
inferredcites →https://doi.org/10.17487/rfc0879openalex-snapshot
The TCP Maximum Segment Size and Related Topics
inferredcites →https://doi.org/10.2139/ssrn.1628024openalex-snapshot
The Legality of Deep Packet Inspection
inferredcites →https://doi.org/10.23919/tma.2018.8506549openalex-snapshot
Demystifying TCP Initial Window Configurations of Content Distribution Networks
inferredcites →https://doi.org/10.32614/cran.package.xgboostopenalex-snapshot
xgboost: Extreme Gradient Boosting
inferredcites →https://doi.org/10.3844/jcssp.2007.430.435openalex-snapshot
Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4790016openalex-extracted
Predictive Alarm Models for Improving Radio Access Network Robustness
inferred← citeshttps://doi.org/10.1007/s10922-025-09911-6openalex-snapshot
Software Defined Network Traffic Classification for QoS Optimization Using Machine Learning
inferred← citeshttps://doi.org/10.1016/j.comcom.2023.05.010openalex-snapshot
A new platform for machine-learning-based network traffic classification
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125312openalex-snapshot
Predictive alarm models for improving radio access network robustness
inferred← citeshttps://doi.org/10.1038/s41598-024-51933-8openalex-snapshot
Method for multi-task learning fusion network traffic classification to address small sample labels
inferred← citeshttps://doi.org/10.1088/1402-4896/ae999copenalex-snapshot
A critical review on the convergence of blockchain and machine learning in deep packet inspection systems to enhance network traffic security, performance and management
inferred← citeshttps://doi.org/10.1109/ccnc51664.2024.10454807openalex-snapshot
Hidden in Time, Revealed in Frequency: Spectral Features and Multiresolution Analysis for Encrypted Internet Traffic Classification
inferred← citeshttps://doi.org/10.1109/icced64257.2024.10982906openalex-snapshot
An Intelligent Intrusion Detection System for the Internet of Things (IoT) Ecosystem
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11342729openalex-snapshot
BSAlarm: A Time Series Dataset for Network Alarm Forecasting and Base Station Classification
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