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Keyword

application identification

Description: A network traffic analysis task that identifies the software applications generating or receiving traffic, including encrypted traffic.
OpenAlex ID: keywords/application-identification
Deep packet: a novel approach for encrypted traffic classification using deep learning
2019 · Mohammad Lotfollahi, Mahdi Jafari Siavoshani, et al. · Soft Computing · 1,183
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Traffic classification on the fly
2006 · Laurent Bernaille, Renata Teixeira, et al. · ACM SIGCOMM Computer Communication Review · 585
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges
2019 · Giuseppe Aceto, Domenico Ciuonzo, et al. · IEEE Transactions on Network and Service Management · 524
Automated traffic classification and application identification using machine learning
2005 · S. Zander, T. Nguyen, et al. · 517
Robust Network Traffic Classification
2014 · Jun Zhang, Xiao Chen, et al. · IEEE/ACM Transactions on Networking · 391
Early application identification
2006 · Laurent Bernaille, Renata Teixeira, et al. · ACM Conference on Emerging Networking Experiments and Technologies (CoNEXT) · 374
Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey
2018 · Fannia Pacheco, Ernesto Exposito, et al. · IEEE Communications Surveys & Tutorials · 369
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Network traffic classification: Techniques, datasets, and challenges
2022 · Ahmad Azab, Mahmoud Khasawneh, et al. · Digital Communications and Networks · 240
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FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification
2021 · Tal Shapira, Yuval Shavitt · IEEE Transactions on Network and Service Management · 223
GT
2009 · F. Gringoli, Luca Salgarelli, et al. · ACM SIGCOMM Computer Communication Review · 192
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DISTILLER: Encrypted traffic classification via multimodal multitask deep learning
2021 · Giuseppe Aceto, Domenico Ciuonzo, et al. · Journal of Network and Computer Applications · 184
Network Traffic Classification techniques and comparative analysis using Machine Learning algorithms
2016 · Muhammad Shafiq, Xiangzhan Yu, et al. · IEEE International Conference on Computer and Communications (ICCC) · 181
Network Traffic Classification Using K-means Clustering
2007 · Yingqiu Liu, Wei Li, et al. · International Multi-Symposiums on Computer and Computational Sciences · 164
New Directions in Automated Traffic Analysis
2021 · Jordan Holland, Paul Schmitt, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 163
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Mobile Encrypted Traffic Classification Using Deep Learning
2018 · Giuseppe Aceto, Domenico Ciuonzo, et al. · Network Traffic Measurement and Analysis Conference (TMA) · 155
A Machine Learning Approach for Efficient Traffic Classification
2007 · W. Li, A. W. Moore · Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems · 154
Application identification via network traffic classification
2017 · Baris Yamansavascilar, M. Amac Guvensan, et al. · 2012 International Conference on Computing, Networking and Communications (ICNC) · 147
Toward effective mobile encrypted traffic classification through deep learning
2020 · Giuseppe Aceto, Domenico Ciuonzo, et al. · Neurocomputing · 146
Seq2Img: A sequence-to-image based approach towards IP traffic classification using convolutional neural networks
2017 · Zhitang Chen, Ke He, et al. · IEEE International Conference on Big Data (BigData) · 132
MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints
2018 · Chang Liu, Zigang Cao, et al. · IEEE/ACM International Symposium on Quality of Service (IWQoS) · 122
A structured search for applications of the incremental sheet-forming process by product segmentation
2005 · J M Allwood, G P F King, et al. · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · 120
Bulk metallic glasses: what are they good for?
2004 · A.I. Salimon, M.F. Ashby, et al. · Materials Science and Engineering A · 116
Reviewing Traffic Classification
2013 · Silvio Valenti, Dario Rossi, et al. · Lecture notes in computer science · 103
Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models
2020 · Zhiyong Bu, Bin Zhou, et al. · IEEE Access · 89
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FlowQoS
2014 · M. Said Seddiki, Muhammad Shahbaz, et al. · 86
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Works count: 643
Citation count: 10,440
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