Identifying and discriminating between web and peer-to-peer traffic in the network core

Data clustering

Jain, A. K., Murty, M. N., & Flynn, P. J. (1999) · ACM Computing Surveys · doi:10.1145/331499.331504 · Cited by 13,532 · see citing works

An Introduction to Variable and Feature Selection.

Guyon, I., & Elisseeff, A. (2003) · Cited by 6,576 · see citing works

Bro: a system for detecting network intruders in real-time

Paxson, V. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00112-7 · Cited by 2,636 · see citing works

Data mining introductory and advanced topics

Dunham, M. H. (2003) · Cited by 1,447 · see citing works

Cluster analysis for gene expression data: a survey

Jiang, D., Tang, C., & Zhang, A. (2004) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2004.68 · Cited by 1,238 · see citing works

Internet traffic classification using bayesian analysis techniques

Moore, A. W., & Zuev, D. V. (2005) · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/1064212.1064220 · Cited by 1,216 · see citing works

BLINC

Karagiannis, T., Papagiannaki, K., & Faloutsos, M. (2005) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/1080091.1080119 · Cited by 997 · see citing works

Accurate, scalable in-network identification of p2p traffic using application signatures

Sen, S. B., Spatscheck, O., & Wang, D. (2004) · International World Wide Web Conference (WWW) · doi:10.1145/988672.988742 · Cited by 807 · see citing works

Toward the Accurate Identification of Network Applications

Moore, A. W., & Papagiannaki, K. (2005) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-31966-5_4 · Cited by 801 · see citing works

Traffic classification using clustering algorithms

Erman, J., Arlitt, M. F., & Mahanti, A. (2006) · doi:10.1145/1162678.1162679 · Cited by 712 · see citing works

Transport layer identification of P2P traffic

Karagiannis, T., Broido, A., Faloutsos, M., & claffy, K. (2004) · ACM Internet Measurement Conference (IMC) · doi:10.1145/1028788.1028804 · Cited by 708 · see citing works

Empirically derived analytic models of wide-area TCP connections

Paxson, V. (1994) · IEEE/ACM Transactions on Networking · doi:10.1109/90.330413 · Cited by 581 · see citing works

Flow Clustering Using Machine Learning Techniques

McGregor, A., Hall, M., Lorier, P., & Brunskill, J. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24668-8_21 · Cited by 521 · see citing works

Automated traffic classification and application identification using machine learning

Zander, S., Nguyen, T., & Armitage, G. (2005) · The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l · doi:10.1109/lcn.2005.35 · Cited by 517 · see citing works

Is P2P dying or just hiding?

Karagiannis, T., Broido, A., Brownlee, N., Claffy, K. C., & Faloutsos, M. (2005) · IEEE Global Telecommunications Conference, 2004. GLOBECOM '04. · doi:10.1109/glocom.2004.1378239 · Cited by 504 · see citing works

Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification

Roughan, M., Sen, S., Spatscheck, O., & Duffield, N. (2004) · Proceedings of the 4th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1028788.1028805 · Cited by 494 · see citing works

ACAS

Haffner, P., Sen, S. B., Spatscheck, O., & Wang, D. (2005) · doi:10.1145/1080173.1080183 · Cited by 376 · see citing works

Early application identification

Bernaille, L., Teixeira, R., & Salamatian, K. (2006) · Proceedings of the 2006 ACM CoNEXT conference on - CoNEXT '06 · doi:10.1145/1368436.1368445 · Cited by 374 · see citing works

Building a better NetFlow

Estan, C., Keys, K., Moore, D., & Varghese, G. (2004) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/1015467.1015495 · Cited by 359 · see citing works

Profiling internet backbone traffic

Xu, K., Zhang, Z.-L., & Bhattacharyya, S. (2005) · ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM) · doi:10.1145/1080091.1080112 · Cited by 337 · see citing works

A Longitudinal Study of P2P Traffic Classification

Madhukar, A., & Williamson, C. L. (2006) · doi:10.1109/mascots.2006.6 · Cited by 248 · see citing works

Properties and prediction of flow statistics from sampled packet streams

Duffield, N. G., Lund, C., & Thorup, M. (2002) · doi:10.1145/637201.637225 · Cited by 212 · see citing works

What TCP/IP protocol headers can tell us about the web

Smith, F. D., Hernández-Campos, F., Kevin Jeffay, B., & Ott, D. E. (2001) · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/378420.378789 · Cited by 181 · see citing works

An analysis of Internet chat systems

Dewes, C., Wichmann, A., & Feldmann, A. (2003) · doi:10.1145/948205.948214 · Cited by 149 · see citing works

Flow sampling under hard resource constraints

Duffield, N. G., Lund, C., & Thorup, M. (2004) · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/1005686.1005699 · Cited by 110 · see citing works

QRP05-4: Internet Traffic Identification using Machine Learning

Erman, J., Mahanti, A., & Arlitt, M. F. (2006) · Globecom · doi:10.1109/glocom.2006.443 · Cited by 106 · see citing works

Semi-supervised network traffic classification

Erman, J., Mahanti, A., Arlitt, M. F., Cohen, I., & Williamson, C. L. (2007) · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/1254882.1254934 · Cited by 93 · see citing works

The Power of Slicing in Internet Flow Measurement

Kompella, R. R., & Estan, C. (2005) · Cited by 55 · see citing works

Content-aware Internet application traffic measurement and analysis

Choi, T., Kim, C., Yoon, S., Park, J., Lee, B. J., Kim, H., Chung, H., & Jeong, T. S. (2004) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2004.1317737 · Cited by 45 · see citing works

A survey of techniques for internet traffic classification using machine learning

Nguyen, T. T. T., & Armitage, G. (2008) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2008.080406 · Cited by 1,664 · see citing works

A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities

Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036 · see citing works

FS-Net: A Flow Sequence Network For Encrypted Traffic Classification

Liu, C., He, L., Xiong, G., Cao, Z., & Li, Z. (2019) · IEEE INFOCOM 2019 - IEEE Conference on Computer Communications · doi:10.1109/infocom.2019.8737507 · Cited by 630 · see citing works

Internet traffic classification demystified: myths, caveats, and the best practices

Kim, H., Claffy, K., Fomenkov, M., Barman, D., Faloutsos, M., & Lee, K. (2008) · Proceedings of the 2008 ACM CoNEXT Conference on - CONEXT '08 · doi:10.1145/1544012.1544023 · Cited by 485 · see citing works

Robust Network Traffic Classification

Zhang, J., Chen, X., Xiang, Y., Zhou, W., & Wu, J. (2015) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2014.2320577 · Cited by 391 · see citing works

Botnets: A survey

Silva, S. S. C., Silva, R. M. P., Pinto, R. C. G., & Salles, R. M. (2012) · Computer Networks · doi:10.1016/j.comnet.2012.07.021 · Cited by 364 · see citing works

Network Traffic Classification Using Correlation Information

Zhang, J., Xiang, Y., Wang, Y., Zhou, W., Xiang, Y., & Guan, Y. (2012) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2012.98 · Cited by 329 · see citing works

Offline/realtime traffic classification using semi-supervised learning

Erman, J., Mahanti, A., Arlitt, M., Cohen, I., & Williamson, C. (2007) · Performance Evaluation · doi:10.1016/j.peva.2007.06.014 · Cited by 287 · see citing works

Internet Traffic Classification by Aggregating Correlated Naive Bayes Predictions

Zhang, J., Chen, C., Xiang, Y., Zhou, W., & Xiang, Y. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2223675 · Cited by 175 · see citing works

Timely and Continuous Machine-Learning-Based Classification for Interactive IP Traffic

Nguyen, T. T. T., Armitage, G., Branch, P., & Zander, S. (2012) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2012.2187305 · Cited by 156 · see citing works

Botnet detection techniques: review, future trends, and issues

Karim, A., Salleh, R., Shiraz, M., Shah, S. A. A., Awan, I. U., & Anuar, N. B. (2014) · Frontiers of Information Technology & Electronic Engineering · doi:10.1631/jzus.c1300242 · Cited by 133 · see citing works

A comparative analysis of web and peer-to-peer traffic

Basher, N., Mahanti, A., Mahanti, A., Williamson, C. L., & Arlitt, M. F. (2008) · International World Wide Web Conference (WWW) · doi:10.1145/1367497.1367537 · Cited by 129 · see citing works

A review on machine learning–based approaches for Internet traffic classification

Salman, O., Elhajj, I. H., Kayssi, A., & Chehab, A. (2020) · Annals of Telecommunications · doi:10.1007/s12243-020-00770-7 · Cited by 131 · see citing works

Internet traffic classification demystified

Lim, Y.-S., Kim, H.-C., Jeong, J., Kim, C.-K., Kwon, T. T., & Choi, Y. (2010) · Proceedings of the 6th International Conference · doi:10.1145/1921168.1921180 · Cited by 125 · see citing works

An Effective Network Traffic Classification Method with Unknown Flow Detection

Zhang, J., Chen, C., Xiang, Y., Zhou, W., & Vasilakos, A. V. (2013) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2013.022713.120250 · Cited by 125 · see citing works

Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related features

Bagui, S. S., Fang, X., Kalaimannan, E., Bagui, S., & Sheehan, J. (2017) · Journal of Cyber Security Technology · doi:10.1080/23742917.2017.1321891 · Cited by 111 · see citing works

Reviewing Traffic Classification

Valenti, S., Rossi, D., Dainotti, A., Pescapè, A., Finamore, A., & Mellia, M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-36784-7_6 · Cited by 103 · see citing works

Analysis of the impact of sampling on NetFlow traffic classification

Carela-Español, V., Barlet‐Ros, P., Cabellos‐Aparicio, A., & Solé‐Pareta, J. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.11.002 · Cited by 102 · see citing works

Taurus: a data plane architecture for per-packet ML

Swamy, T., Rucker, A., Shahbaz, M., Gaur, I., & Olukotun, K. (2022) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/3503222.3507726 · Cited by 98 · see citing works

Semi-supervised network traffic classification

Erman, J., Mahanti, A., Arlitt, M. F., Cohen, I., & Williamson, C. L. (2007) · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/1254882.1254934 · Cited by 93 · see citing works

Toward an efficient and scalable feature selection approach for internet traffic classification

Fahad, A., Tari, Z., Khalil, I., Habib, I., & Alnuweiri, H. (2013) · Computer Networks · doi:10.1016/j.comnet.2013.04.005 · Cited by 89 · see citing works

In-Network Machine Learning Using Programmable Network Devices: A Survey

Zheng, C., Hong, X., Ding, D., Vargaftik, S., Ben-Itzhak, Y., & Zilberman, N. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3344351 · Cited by 90 · see citing works

Ranking web sites with real user traffic

Meiss, M., Menczer, F., Fortunato, S., Flammini, A., & Vespignani, A. (2008) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1341531.1341543 · Cited by 83 · see citing works

Unsupervised traffic classification using flow statistical properties and IP packet payload

Zhang, J., Xiang, Y., Zhou, W., & Wang, Y. (2012) · Journal of Computer and System Sciences · doi:10.1016/j.jcss.2012.11.004 · Cited by 84 · see citing works

ATVITSC: A Novel Encrypted Traffic Classification Method Based on Deep Learning

Liu, Y., Wang, X., Qu, B., & Zhao, F. (2024) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2024.3433446 · Cited by 75 · see citing works

On Internet Traffic Classification: A Two-Phased Machine Learning Approach

Bakhshi, T., & Ghita, B. (2016) · Journal of Computer Networks and Communications · doi:10.1155/2016/2048302 · Cited by 71 · see citing works

Generating regular expression signatures for network traffic classification in trusted network management

Wang, Y., Xiang, Y., Zhou, W., & Yu, S. (2011) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2011.03.017 · Cited by 69 · see citing works

A new approach for internet traffic classification: GA-WK-ELM

Ertam, F., & Avcı, E. (2016) · Measurement · doi:10.1016/j.measurement.2016.10.001 · Cited by 69 · see citing works

Abacus: Accurate behavioral classification of P2P-TV traffic

Bermolen, P., Mellia, M., Meo, M., Rossi, D., & Valenti, S. (2011) · Computer Networks · doi:10.1016/j.comnet.2010.12.004 · Cited by 67 · see citing works

BUFFEST

Krishnamoorthi, V., Carlsson, N. F., Halepovic, E., & Petajan, E. D. (2017) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/3083187.3083193 · Cited by 65 · see citing works

THE DYNAMICS OF INTERNET TRAFFIC: SELF-SIMILARITY, SELF-ORGANIZATION, AND COMPLEX PHENOMENAPreprint

Smith, R. D. (2009) · Cited by 65 · see citing works

Anomaly detection in traffic using L1-norm minimization extreme learning machine

Wang, Y., Li, D., Du, Y., & Pan, Z. (2014) · Neurocomputing · doi:10.1016/j.neucom.2014.04.073 · Cited by 61 · see citing works

Exploiting dynamicity in graph-based traffic analysis

Iliofotou, M., Faloutsos, M., & Mitzenmacher, M. (2009) · ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) · doi:10.1145/1658939.1658967 · Cited by 61 · see citing works

Procedures, Criteria, and Machine Learning Techniques for Network Traffic Classification: A Survey

Sheikh, M. S., & Peng, Y. (2022) · IEEE Access · doi:10.1109/access.2022.3181135 · Cited by 59 · see citing works

Semi-supervised network traffic classification

Erman, J., Mahanti, A., Arlitt, M. F., Cohen, I., & Williamson, C. L. (2007) · ACM SIGMETRICS Performance Evaluation Review · doi:10.1145/1269899.1254934 · Cited by 52 · see citing works

Byte me

Erman, J., Mahanti, A., & Arlitt, M. F. (2007) · doi:10.1145/1269880.1269890 · Cited by 51 · see citing works

Toward In-Network Deep Machine Learning for Identifying Mobile Applications and Enabling Application Specific Network Slicing

Nakao, A., & Du, P. (2018) · IEICE Transactions on Communications · doi:10.1587/transcom.2017cqi0002 · Cited by 51 · see citing works

An optimal and stable feature selection approach for traffic classification based on multi-criterion fusion

Fahad, A., Tari, Z., Khalil, I., Almalawi, A., & Zomaya, A. Y. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.09.015 · Cited by 50 · see citing works

Payload-Based Traffic Classification Using Multi-Layer LSTM in Software Defined Networks

Lim, H.-K., Kim, J.-B., Kim, K., Hong, Y.-G., & Han, Y. (2019) · Applied Sciences · doi:10.3390/app9122550 · Cited by 47 · see citing works

A Network Traffic Classification Method Based on Dual-Mode Feature Extraction and Hybrid Neural Networks

Yang, Y., Yan, Y., Gao, Z., Rui, L., Lyu, R., Gao, B., & Yu, P. (2023) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2023.3262246 · Cited by 46 · see citing works

Detection and classification of peer-to-peer traffic

Gomes, J. V., Inácio, P. R. M., Pereira, M., Freire, M. M., & Monteiro, P. P. (2013) · ACM Computing Surveys · doi:10.1145/2480741.2480747 · Cited by 42 · see citing works

Browser Fingerprinting from Coarse Traffic Summaries: Techniques and Implications

Yen, T.-F., Huang, X., Monrose, F., & Reiter, M. K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02918-9_10 · Cited by 39 · see citing works

State of the Art in Traffic Classification: A Research Review

Zhang, M., John, W., claffy, K., & Brownlee, N. (2009) · Cited by 38 · see citing works

On the efficiency of collaborative caching in ISP-aware P2P networks

Dai, J., Li, B., Liu, F., Li, B., & Jin, H. (2011) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2011.5934903 · Cited by 35 · see citing works

What's in a Session: Tracking Individual Behavior on the WebPreprint

Meiss, M., Duncan, J. F., Gonçalves, B., Ramasco, J. J., & Menczer, F. (2010) · arXiv (Cornell University) · doi:10.48550/arxiv.1003.5325 · Cited by 35 · see citing works

Fine‐grained traffic classification based on functional separation

Park, B., Won, Y., Chung, J., Kim, M., & Hong, J. W. (2013) · International Journal of Network Management · doi:10.1002/nem.1837 · Cited by 34 · see citing works

Real-Time Traffic Classification Based on Statistical and Payload Content Features

Dehghani, F., Movahhedinia, N., Khayyambashi, M. R., & Kianian, S. (2010) · International Workshop on Intelligent Systems and Applications (ISA) · doi:10.1109/iwisa.2010.5473467 · Cited by 34 · see citing works

Optimizing Deep Packet Inspection for High-Speed Traffic Analysis

Cascarano, N., Ciminiera, L., & Risso, F. (2010) · Journal of Network and Systems Management · doi:10.1007/s10922-010-9181-x · Cited by 34 · see citing works

Deep RNN-based network traffic classification scheme in edge computing system

Kim, K., Lee, J.-H., Lim, H.-K., Oh, S. W., & Han, Y. (2021) · Computer Science and Information Systems · doi:10.2298/csis200424038k · Cited by 34 · see citing works

Profiling-By-Association

Iliofotou, M., Gallagher, B. J., Eliassi‐Rad, T., Xie, G., & Faloutsos, M. (2010) · Proceedings of the 6th International Conference · doi:10.1145/1921168.1921171 · Cited by 33 · see citing works

Network traffic application identification based on message size analysis

Hajjar, A. F., Khalife, J., & Dı́az-Verdejo, J. E. (2015) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2015.10.003 · Cited by 32 · see citing works

Genetic optimization and hierarchical clustering applied to encrypted traffic identification

Bacquet, C., Zincir-Heywood, N., & Heywood, M. I. (2011) · IEEE Symposium on Computational Intelligence in Cyber Security (CICS) · doi:10.1109/cicybs.2011.5949391 · Cited by 30 · see citing works

TrojanFlow: A Neural Backdoor Attack to Deep Learning-based Network Traffic Classifiers

Ning, R., Xin, C., & Wu, H. (2022) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom48880.2022.9796878 · Cited by 29 · see citing works

VoIP traffic classification in IPSec tunnels

Yildirim, T., & Radcliffe, P. (2010) · International Conference on Electronics and Information Engineering · doi:10.1109/iceie.2010.5559900 · Cited by 29 · see citing works

K-Dimensional Trees for Continuous Traffic Classification

Carela-Español, V., Barlet‐Ros, P., Solé-Simó, M., Dainotti, A., de Donato, W., & Pescapè, A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12365-8_11 · Cited by 28 · see citing works

Clustering to Assist Supervised Machine Learning for Real-Time IP Traffic Classification

Nguyen, T. T. T., & Armitage, G. (2008) · International Conference on Communications · doi:10.1109/icc.2008.1095 · Cited by 28 · see citing works

Few-shot encrypted traffic classification via multi-task representation enhanced meta-learning

Yang, C., Xiong, G., Zhang, Q., Shi, J., Gou, G., Li, Z., & Liu, C. (2023) · Computer Networks · doi:10.1016/j.comnet.2023.109731 · Cited by 27 · see citing works

Early Online Classification of Encrypted Traffic Streams using Multi-fractal Features

Areström, E., & Carlsson, N. F. (2019) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infcomw.2019.8845127 · Cited by 27 · see citing works

Nfsight: netflow-based network awareness tool

Berthier, R., Cukier, M., Hiltunen, M. A., Kormann, D., Vesonder, G., & Sheleheda, D. (2010) · Cited by 24 · see citing works

Encrypted Traffic Classification Based on an Improved Clustering Algorithm

Zhang, M., Zhang, H., Zhang, B., & Lü, G. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-35795-4_16 · Cited by 23 · see citing works

P2P and P2P botnet traffic classification in two stages

Ye, W., & Cho, K. (2015) · Soft Computing · doi:10.1007/s00500-015-1863-6 · Cited by 23 · see citing works

A predictive load balancing technique for software defined networked cloud services

Yang, C., Chen, S.-T., Liu, J., Su, Y.-W., Puthal, D., & Ranjan, R. K. (2018) · Computing · doi:10.1007/s00607-018-0665-y · Cited by 23 · see citing works

What's in a session

Meiss, M., Duncan, J. F., Gonçalves, B., Ramasco, J. J., & Menczer, F. (2009) · ACM Conference on Hypertext and Social Media (HT) · doi:10.1145/1557914.1557946 · Cited by 23 · see citing works

Inferring undesirable behavior from P2P traffic analysis

Torres, R. D., Hajjat, M. Y., Rao, S., Mellia, M., & Munafò, M. M. (2009) · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/1555349.1555353 · Cited by 22 · see citing works

An Experimental Evaluation of the Computational Cost of a DPI Traffic Classifier

Cascarano, N., Este, A., Gringoli, F., Risso, F., & Salgarelli, L. (2009) · Globecom · doi:10.1109/glocom.2009.5425469 · Cited by 22 · see citing works

An optimal deployable bandwidth aggregation system

Habak, K., Youssef, M. A., & Harras, K. A. (2013) · Computer Networks · doi:10.1016/j.comnet.2013.07.012 · Cited by 21 · see citing works

IP packet-level encrypted traffic classification using machine learning with a light weight feature engineering method

Luo, P., Chu, J., & Yang, G. (2023) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2023.103519 · Cited by 21 · see citing works

Unknown network protocol classification method based on semi-supervised learning

Lin, R., Li, O., Li, Q., & Liu, Y. (2015) · IEEE International Conference on Computer and Communications (ICCC) · doi:10.1109/compcomm.2015.7387586 · Cited by 21 · see citing works

Internet Traffic Classification Using DBSCAN

Yang, C., Wang, F., & Huang, B. (2009) · WASE International Conference on Information Engineering · doi:10.1109/icie.2009.97 · Cited by 21 · see citing works

Network traffic classification based on semi-supervised clustering

Lin, G.-Z., Xin, Y., Niu, X., & JIANG, H.-B. (2010) · 中国邮电高校学报：英文版 · doi:10.1016/s1005-8885(09)60577-x · Cited by 20 · see citing works

Taurus: An Intelligent Data Plane.Preprint

Swamy, T., Rucker, A., Shahbaz, M., & Olukotun, K. (2020) · arXiv (Cornell University) · Cited by 20 · see citing works

AN-Net: an Anti-Noise Network for Anonymous Traffic Classification

Deng, X.-W., Wang, Y.-J., & Xue, Z. (2024) · The Web Conference · doi:10.1145/3589334.3645691 · Cited by 22 · see citing works

Going Beyond DiffServ in IP Traffic Classification

Aureli, D., Cianfrani, A., Diamanti, A., Vílchez, J. M. S., & Secci, S. (2020) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms47738.2020.9110430 · Cited by 19 · see citing works

Traffic Classification Based on Flow Similarity

Chung, J. Y., Park, B., Won, Y. J., Strassner, J., & Hong, J. W. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04968-2_6 · Cited by 19 · see citing works

Network application profiling with traffic causality graphs

Asai, H., Fukuda, K., Abry, P., Borgnat, P., & Esaki, H. (2014) · International Journal of Network Management · doi:10.1002/nem.1865 · Cited by 18 · see citing works

Machine Learning and Its Applicability in Networking

Jain, A., & Nayyar, A. (2020) · Apple Academic Press eBooks · doi:10.1201/9781003007210-3 · Cited by 17 · see citing works

The Performance of a Bare Machine Email Server

Ford, G. H., Karne, R. K., Wijesinha, A. L., & Appiah-Kubi, P. (2009) · International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) · doi:10.1109/sbac-pad.2009.11 · Cited by 17 · see citing works

Impact of Asymmetric Routing on Statistical Traffic Classification

Crotti, M., Gringoli, F., & Salgarelli, L. (2009) · Globecom · doi:10.1109/glocom.2009.5426255 · Cited by 17 · see citing works

Network Traffic Analysis for Android Malware Detection

de la Puerta, J. G., Pastor-López, I., Sanz, B., & Bringas, P. G. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-29859-3_40 · Cited by 16 · see citing works

Iterative-tuning support vector machine for network traffic classification

Hong, Y., Huang, C., Nandy, B., & Seddigh, N. (2015) · IFIP/IEEE International Symposium on Integrated Network Management (IM) · doi:10.1109/inm.2015.7140323 · Cited by 16 · see citing works

Intelligently modeling, detecting, and scheduling elephant flows in software defined energy cloud: A survey

Liao, L. X., Chao, H., & Chen, M. (2020) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2020.07.008 · Cited by 16 · see citing works

Detecting VoIP Traffic Based on Human Conversation Patterns

Wu, C., Chen, K.-T., Chang, Y.-C., & Lei, C. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-89054-6_14 · Cited by 15 · see citing works

A two‐layer model for improving the energy efficiency of file sharing peer‐to‐peer networks

Paolo Trunfio, A. (2014) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.3213 · Cited by 15 · see citing works

Explaining Class-of-Service Oriented Network Traffic Classification with Superfeatures

Chowdhury, S., Liang, B., & Tizghadam, A. (2019) · doi:10.1145/3359992.3366767 · Cited by 15 · see citing works

Intelligent Network Slicing With Edge Computing for Internet of Vehicles

Du, P., Nakao, A., Zhong, L., & Onishi, R. (2021) · IEEE Access · doi:10.1109/access.2021.3112210 · Cited by 15 · see citing works

Network traffic classification based on ensemble learning and co-training

He, H., Luo, X., Ma, F., Che, C., & Wang, J. (2009) · Science in China Series F Information Sciences · doi:10.1007/s11432-009-0050-8 · Cited by 15 · see citing works

OPERETTA: An optimal energy efficient bandwidth aggregation system

Habak, K., Harras, K. A., & Youssef, M. A. (2012) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/secon.2012.6275768 · Cited by 14 · see citing works

What Goes Around Comes Around: Mobile Bandwidth Sharing and Aggregation

Habak, K., Harras, K. A., & Youssef, M. A. (2015) · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) · doi:10.1109/mass.2015.42 · Cited by 14 · see citing works

Traffic causality graphs: Profiling network applications through temporal and spatial causality of flows

Asai, H., Fukuda, K., & Esaki, H. (2011) · International Teletraffic Congress · doi:10.5555/2043468.2043484 · Cited by 14 · see citing works

Improving cost and accuracy of DPI traffic classifiers

Cascarano, N., Ciminiera, L., & Risso, F. (2010) · ACM Symposium on Applied Computing · doi:10.1145/1774088.1774223 · Cited by 13 · see citing works

Detecting Stealthy Malware Using Behavioral Features in Network Traffic

Yen, T.-F. (2011) · Cited by 12 · see citing works

Traffic classification for managing Applications’ networking profiles

Alizadeh, H., & Zúquete, A. (2016) · Security and Communication Networks · doi:10.1002/sec.1516 · Cited by 12 · see citing works

Multilayer Feedforward Neural Network for Internet Traffic Classification.

Manju, N., Harish, B. S., & Nagadarshan, N. (2019) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2019.11.002 · Cited by 12 · see citing works

Fault diagnosis in DSL networks using support vector machines

Marnerides, A. K., Malinowski, S., Morla, R., & Kim, H. S. (2015) · Computer Communications · doi:10.1016/j.comcom.2015.01.006 · Cited by 12 · see citing works

An efficient hybrid deep learning approach for internet security

Ertam, F. (2019) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2019.122492 · Cited by 12 · see citing works

DBAS: A Deployable Bandwidth Aggregation System

Habak, K., Youssef, M. A., & Harras, K. A. (2012) · IFIP International Conference on New Technologies, Mobility and Security (NTMS) · doi:10.1109/ntms.2012.6208735 · Cited by 11 · see citing works

Timely Classification and Verification of Network Traffic Using Gaussian Mixture Models

Alizadeh, H., Vranken, H., Zúquete, A., & Miri, A. (2020) · IEEE Access · doi:10.1109/access.2020.2992556 · Cited by 11 · see citing works

Streaming Video Classification Using Machine Learning

Shaout, A., & Crispin, B. (2020) · The International Arab Journal of Information Technology · doi:10.34028/iajit/17/4a/13 · Cited by 11 · see citing works

Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification

He, H., Che, C., Ma, F., Luo, X., & Wang, J. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85984-0_54 · Cited by 11 · see citing works

OSCAR: A Collaborative Bandwidth Aggregation SystemPreprint

Habak, K., Harras, K. A., & Youssef, M. A. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1401.1258 · Cited by 10 · see citing works

ABSTRACT Identifying and Discriminating Between Web and Peer-to-Peer Traffic in the Network Core

Erman, J., Mahanti, A., Arlitt, M. F., & Williamson, C. L. (2008)

A Survey on Network Traffic Classification Based on Flow Accuracy

David, R. (2013)

Traffic differentiability based on packet and flow per application-analysis

Ilvesmäki, M., Kantola, R., & Luoma, M. (2004) · Globecom · doi:10.1109/glocom.2003.1258820

Identifying online traffic based on property of TCP flow

Hong, M., Gu, R., Wang, H., Sun, Y., & Ji, Y. (2009) · 中国邮电高校学报：英文版 · doi:10.1016/s1005-8885(08)60231-9 · Cited by 6 · see citing works

Accurate classification of P2P traffic by clustering flows

He, J., Yang, Y., Yong, Q., & Chuan, T. (2013) · China Communications · doi:10.1109/cc.2013.6674209 · Cited by 16 · see citing works