Toward the Accurate Identification of Network Applications

Snort - Lightweight Intrusion Detection for Networks

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Packet-level traffic measurements from the sprint IP backbone

Fraleigh, C., Moon, S. B., Lyles, B., Cotton, C., Khan, M., Moll, D., Rockell, R., Seely, T., & Diot, C. (2003) · IEEE Network · doi:10.1109/mnet.2003.1248656 · Cited by 639

The CoralReef Software Suite as a Tool for System and Network Administrators

Moore, D., Keys, K., Koga, R., Lagache, E., & claffy, K. (2001) · Cited by 114

Architecture of a network monitor

Moore, A. W., Hall, J., Kreibich, C., Harris, E. P., & Pratt, I. (2003) · Cited by 101

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

Ethereal Packet Sniffing

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AutoSig-Automatically Generating Signatures for Applications

Ye, M., Xu, K., Wu, J., & Hu, P. (2009) · IEEE International Conference on Computer and Information Technology (CIT) · doi:10.1109/cit.2009.97 · Cited by 50

Identification of Traffic Flows Hiding behind TCP Port 80

Dainotti, A., Gargiulo, F., Kuncheva, L. I., Pescapè, A., & Sansone, C. (2010) · International Conference on Communications · doi:10.1109/icc.2010.5502266 · Cited by 50

Performance Analysis of Unsupervised Machine Learning Techniques for Network Traffic Classification

Singh, H. (2015) · doi:10.1109/acct.2015.54 · Cited by 48

Digging into HTTPS: flow-based classification of webmail traffic

Schatzmann, D., Mühlbauer, W., Spyropoulos, T., & Dimitropoulos, X. (2010) · Proceedings of the 10th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1879141.1879184 · Cited by 47

CSCNN: Cost-Sensitive Convolutional Neural Network for Encrypted Traffic Classification

Soleymanpour, S., Sadr, H., & Soleimandarabi, M. N. (2021) · Neural Processing Letters · doi:10.1007/s11063-021-10534-6 · Cited by 47

BotCop: An Online Botnet Traffic Classifier

Lu, W., Tavallaee, M., Rammidi, G., & Ghorbani, A. A. (2009) · Annual Communication Networks and Services Research Conference (CNSR) · doi:10.1109/cnsr.2009.21 · Cited by 47

$BitCoding$ : Network Traffic Classification Through Encoded Bit Level Signatures

Hubballi, N., & Swarnkar, M. (2018) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2018.2868816 · Cited by 47

TIE: A Community-Oriented Traffic Classification Platform

Dainotti, A., de Donato, W., & Pescapè, A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01645-5_8 · Cited by 47

NeTraMark

Lee, S., Kim, H., Barman, D., Lee, S., Kim, C.-K., Kwon, T. T., & Choi, Y. (2011) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1925861.1925865 · Cited by 46

Towards Stateless Single-Packet IP Traceback

Laufer, R. P., Velloso, P. B., Cunha, D. D. O., Moraes, I. M., Bicudo, M. D. D., Moreira, M., & Duarte, O. C. M. B. (2007) · Conference on Local Computer Networks · doi:10.1109/lcn.2007.15 · Cited by 45

Trends and Differences in Connection-Behavior within Classes of Internet Backbone Traffic

John, W., Tafvelin, S., & Olovsson, T. (2008) · Springer eBooks · doi:10.1007/978-3-540-79232-1_20 · Cited by 45

Heuristics to Classify Internet Backbone Traffic based on Connection Patterns

John, W., & Tafvelin, S. (2008) · International Conference on Information Networking · doi:10.1109/icoin.2008.4472818 · Cited by 44

A multi-layer perceptron approach for flow-based anomaly detection

van Efferen, L., & Eldin, A. A. (2017) · International Symposium on Networks, Computers and Communications (ISNCC) · doi:10.1109/isncc.2017.8072036 · Cited by 44

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

Active learning to detect DDoS attack using ranked features

Deka, R. K., Bhattacharyya, D. K., & Kalita, J. K. (2019) · Computer Communications · doi:10.1016/j.comcom.2019.06.010 · Cited by 40

Unconstrained endpoint profiling (googling the internet)

Trestian, I., Ranjan, S., Kuzmanovi, A., & Nucci, A. (2008) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/1402958.1402991 · Cited by 42

An investigation on the identification of VoIP traffic: Case study on Gtalk and Skype

Alshammari, R., & Zincir-Heywood, N. (2010) · International Conference on Network and Service Management (CNSM) · doi:10.1109/cnsm.2010.5691210 · Cited by 42

Real-Time P2P Traffic Identification

Li, J., Zhang, S., Lu, Y., & Yan, J. (2008) · Globecom · doi:10.1109/glocom.2008.ecp.475 · Cited by 41

A Preliminary Performance Evaluation of K-means, KNN and EM Unsupervised Machine Learning Methods for Network Flow Classification

Alalousi, A., Othman, R. R., Abualhaj, M. M., Anbar, M., & Nizam, S. (2016) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v6i2.pp778-784 · Cited by 41

A novel self-learning architecture for p2p traffic classification in high speed networks

Keralapura, R., Nucci, A., & Chuah, C. (2009) · Computer Networks · doi:10.1016/j.comnet.2009.10.009 · Cited by 40

GTVS: Boosting the Collection of Application Traffic Ground Truth

Canini, M., Li, W., Moore, A. W., & Bolla, R. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01645-5_7 · Cited by 40

Using Packet Symmetry to Curtail Malicious Traffic

Kreibich, C., Warfield, A., Crowcroft, J., Hand, S., & Pratt, I. (2005) · Cited by 40

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

A Survey of Traffic Classification in Software Defined Networks

Yan, J., & Yuan, J. (2018) · International Conference on Hot Information-Centric Networking (HotICN) · doi:10.1109/hoticn.2018.8606038 · Cited by 39

Comparing traffic classifiers

Salgarelli, L., Gringoli, F., & Karagiannis, T. (2007) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1273445.1273454 · Cited by 39

Accurate, Fine-Grained Classification of P2P-TV Applications by Simply Counting Packets

Valenti, S., Rossi, D., Meo, M., Mellia, M., & Bermolen, P. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01645-5_10 · Cited by 38

Network Traffic Classification with Improved Random Forest

Wang, C., Xu, T., & Qin, X. W. (2015) · International Conference on Computational Intelligence and Security (CIS) · doi:10.1109/cis.2015.27 · Cited by 37

Machine learning based internet traffic recognition with statistical approach

Jaiswal, R. C., & Lokhande, S. D. (2013) · IEEE India Conference · doi:10.1109/indcon.2013.6726074 · Cited by 37

Silhouette

Li, F., Chung, J., & Claypool, M. K. (2018) · doi:10.1145/3210445.3210448 · Cited by 37

Breaking and Improving Protocol Obfuscation

Hjelmvik, E., & John, W. (2010) · Chalmers Publication Library (Chalmers University of Technology) · Cited by 37

Identify P2P traffic by inspecting data transfer behavior

Xu, K., Zhang, M., Ye, M., Chiu, D. M., & Wu, J. (2010) · Computer Communications · doi:10.1016/j.comcom.2010.01.005 · Cited by 36

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

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

CUTE: Traffic Classification Using TErms

Yeganeh, S. H., Eftekhar, M., Ganjali, Y., Keralapura, R., & Nucci, A. (2012) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn.2012.6289207 · Cited by 34

An efficient SVM-based method for multi-class network traffic classification

Jing, N., Yang, M., Cheng, S., Dong, Q., & Xiong, H. (2011) · IEEE International Performance, Computing, and Communications Conference · doi:10.1109/pccc.2011.6108074 · Cited by 34

Detecting Skype flows in Web traffic

Freire, E. P., Ziviani, A., & Salles, R. M. (2008) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2008.4575121 · Cited by 34

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

Can We Trust the Inter-Packet Time for Traffic Classification?

Jaber, M., Cascella, R. G., & Barakat, C. (2011) · International Conference on Communications · doi:10.1109/icc.2011.5963024 · Cited by 33

A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic

Carela-Español, V., Barlet‐Ros, P., Bifet, A., & Fukuda, K. (2015) · Telecommunication Systems · doi:10.1007/s11235-015-0114-6 · Cited by 33

Statistical Protocol IDentification with SPID: Preliminary Results

Hjelmvik, E., & John, W. (2009) · Chalmers Publication Library (Chalmers University of Technology) · Cited by 33

Distilling the Internet’s Application Mix from Packet-Sampled Traffic

Richter, P., Chatzis, N., Smaragdakis, G., Feldmann, A., & Willinger, W. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-15509-8_14 · Cited by 33

Early Identifying Application Traffic with Application Characteristics

Huang, N.-F., Jai, G.-Y., & Chao, H. (2008) · International Conference on Communications · doi:10.1109/icc.2008.1083 · Cited by 32

Challenges in network application identification

Tongaonkar, A., Keralapura, R., & Nucci, A. (2012) · USENIX conference on Large-scale exploits and emergent threats · Cited by 32

High throughput and programmable online trafficclassifier on FPGA

Tong, D., Sun, L., Matam, K. K., & Prasanna, V. K. (2013) · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · doi:10.1145/2435264.2435307 · Cited by 32

A Multi-level Internet Traffic Classifier Using Deep Learning

Salman, O., Elhajj, I. H., Chehab, A., & Kayssi, A. (2018) · International Conference on the Network of the Future (NOF) · doi:10.1109/nof.2018.8598055 · Cited by 34

ML-Based Traffic Classification in an SDN-Enabled Cloud Environment

Belkadi, O., Vulpe, A., Laaziz, Y., & Halunga, S. V. (2023) · Electronics · doi:10.3390/electronics12020269 · Cited by 35

A markovian signature-based approach to IP traffic classification

Dahmouni, H., Vaton, S., & Rossé, D. (2007) · doi:10.1145/1269880.1269889 · Cited by 32

Early traffic classification using support vector machines

Sena, G. G., & Belzarena, P. (2009) · doi:10.1145/1636682.1636693 · Cited by 31

FEAT: A Federated Approach for Privacy-Preserving Network Traffic Classification in Heterogeneous Environments

Guo, Y.-Y., & Wang, D. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3204975 · Cited by 27

Application traffic classification using payload size sequence signature

Shim, K., Ham, J., Sija, B. D., & Kim, M. (2017) · International Journal of Network Management · doi:10.1002/nem.1981 · Cited by 29

THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK BASED TRAFFIC CLASSIFICATION FOR WIRELESS COMMUNICATIONS

Jing, R., Chen, Y., & Li, S. (2018) · IEEE Global Conference on Signal and Information Processing · doi:10.1109/globalsip.2018.8646659 · Cited by 29

Data representation for CNN based internet traffic classification: a comparative study

Salman, O., Elhajj, I. H., Kayssi, A. I., & Chehab, A. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09459-4 · Cited by 29

Edge Computing Intelligence Using Robust Feature Selection for Network Traffic Classification in Internet-of-Things

Mohammed, B., Hamdan, M., Bassi, J. S., Jamil, H. A., Khan, S., Abdallah, A. E., Rawat, D. B., Ismail, I., & Marsono, M. N. (2020) · IEEE Access · doi:10.1109/access.2020.3037492 · Cited by 29

Fingerprinting encrypted network traffic types using machine learning

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Network traffic characterisation using flow-based statistics

Velan, P., Medková, J., Jirsík, T., & Čeleda, P. (2016) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2016.7502924 · Cited by 28

Network exception handlers

Karagiannis, T., Mortier, R., & Rowstron, A. I. T. (2008) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1402946.1402973 · Cited by 28

Generalization of signatures for SSH encrypted traffic identification

Alshammari, R., & Zincir-Heywood, N. (2009) · IEEE Symposium on Computational Intelligence in Cyber Security (CICS) · doi:10.1109/cicybs.2009.4925105 · Cited by 28

Speeding-Up DPI Traffic Classification with Chaining

Doroud, H., Aceto, G., de Donato, W., Jarchlo, E. A., Marín, A., Guerrero, C. D., & Pescapè, A. (2018) · Globecom · doi:10.1109/glocom.2018.8648137 · Cited by 28

UTMobileNetTraffic2021: A Labeled Public Network Traffic Dataset

Heng, Y., Chandrasekhar, V., & Andrews, J. G. (2021) · IEEE Networking Letters · doi:10.1109/lnet.2021.3098455 · Cited by 27

On the Feasibility of Device Fingerprinting in Industrial Control Systems

Caselli, M., Hadžiosmanović, D., Zambon, E., & Kargl, F. (2013) · Lecture notes in computer science · doi:10.1007/978-3-319-03964-0_14 · Cited by 27

Using visual motifs to classify encrypted traffic

Wright, C. V., Monrose, F., & Masson, G. M. (2006) · doi:10.1145/1179576.1179584 · Cited by 27

Stochastic Packet Inspection for TCP Traffic

Mantia, G. L., Rossi, D., Finamore, A., Mellia, M., & Meo, M. (2010) · International Conference on Communications · doi:10.1109/icc.2010.5502280 · Cited by 27

Network traffic classification via HMM under the guidance of syntactic structure

Yin, C., Li, S., & Li, Q. L. (2012) · Computer Networks · doi:10.1016/j.comnet.2012.01.021 · Cited by 27

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 29

On factors affecting the usage and adoption of a nation-wide TV streaming service

Karamshuk, D., Sastry, N., Secker, A., & Chandaria, J. (2015) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2015.7218454 · Cited by 26

Autonomous Model Update Scheme for Deep Learning Based Network Traffic Classifiers

Zhang, J., Li, F., Wu, H., & Ye, F. (2019) · Globecom · doi:10.1109/globecom38437.2019.9014036 · Cited by 26

BitProb: Probabilistic Bit Signatures for Accurate Application Identification

Hubballi, N., Swarnkar, M., & Conti, M. (2020) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2020.2999856 · Cited by 26

Online NetFPGA decision tree statistical traffic classifier

Monemi, A., Zarei, R., & Marsono, M. N. (2013) · Computer Communications · doi:10.1016/j.comcom.2013.05.004 · Cited by 26

Statistical traffic identification method based on flow-level behavior for fair VoIP service

Okabe, T., Kitamura, T., & Shizuno, T. (2006) · doi:10.1109/voipms.2006.1638120 · Cited by 26

Semi-supervised Encrypted Traffic Classification Using Composite Features Set

Liu, H., Wang, Z., & Wang, Y. (2012) · Journal of Networks · doi:10.4304/jnw.7.8.1195-1200 · Cited by 26

A P2P Network Traffic Classification Method Using SVM

Yang, A., Jiang, S., & Deng, H. (2008) · International Conference for Young Computer Scientists · doi:10.1109/icycs.2008.247 · Cited by 26

Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks

Vinayakumar, R., Soman, K. P., & Poornachandran, P. (2017) · International Conference on Advances in Computing, Communications and Informatics (ICACCI) · doi:10.1109/icacci.2017.8126143 · Cited by 25

Traffic classification based on port connection pattern

Cheng, G., & Wang, S. (2011) · International Conference on Computer Science and Service System · doi:10.1109/csss.2011.5974374 · Cited by 25

Using Network Motifs to Identify Application Protocols

Allan, E. G., Turkett, W. H., & Fulp, E. W. (2009) · Globecom · doi:10.1109/glocom.2009.5425781 · Cited by 25

SHAPE: A Simultaneous Header and Payload Encoding Model for Encrypted Traffic Classification

Dai, J., Xu, X., Gao, H., Wang, X., & Xiao, F. (2022) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2022.3213758 · Cited by 24

A Heuristic-Based Co-clustering Algorithm for the Internet Traffic Classification

Lu, W., & Xue, L. (2014) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2014.16 · Cited by 24

Detecting VoIP calls hidden in web traffic

Freire, E. P., Ziviani, A., & Salles, R. M. (2008) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2009.041102 · Cited by 24

COAP

Patro, A., & Banerjee, S. (2015) · ACM SIGMOBILE Mobile Computing and Communications Review · doi:10.1145/2721896.2721904 · Cited by 24

Identification of Abnormal Network Traffic Using Support Vector Machine

Kong, L., Huang, G., & Wu, K. (2017) · International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) · doi:10.1109/pdcat.2017.00054 · Cited by 24

A Near Real-time IP Traffic Classification Using Machine Learning

Singh, K., Agrawal, S., & Sohi, B. S. (2013) · International Journal of Intelligent Systems and Applications · doi:10.5815/ijisa.2013.03.09 · Cited by 23

CAPC: Packet-Based Network Service Classifier With Convolutional Autoencoder

Chiu, K.-C., Liu, C.-C., & Chou, L. (2020) · IEEE Access · doi:10.1109/access.2020.3041806 · Cited by 22

Encrypted Traffic Classification Based on Traffic Reconstruction

Ma, Q., Huang, W., Jin, Y., & Mao, J. (2021) · International Conference on Artificial Intelligence and Big Data (ICAIBD) · doi:10.1109/icaibd51990.2021.9459072 · Cited by 22

Classifying HTTP Traffic in the New Age

Li, W., Moore, A. W., & Canini, M. (2008) · Cited by 22

Characterization of the busy-hour traffic of IP networks based on their intrinsic features

García‐Dorado, J. L., Hernández, J. A., Aracil, J., de Vergara, J. E. L., & López-Buedo, S. (2011) · Computer Networks · doi:10.1016/j.comnet.2011.02.015 · Cited by 22

Machine Learned Real-Time Traffic Classifiers

Wang, Y., & Yu, S. (2008) · Intelligent Information Technology Application · doi:10.1109/iita.2008.536 · Cited by 22

Identifying P2P traffic: A survey

Bhatia, M., & Rai, M. K. (2016) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-016-0471-2 · Cited by 22

Traffic identification method based on multiple probabilistic neural network model

Dong, S., & Li, R. (2017) · Neural Computing and Applications · doi:10.1007/s00521-017-3081-x · Cited by 22

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

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification

Chen, X.-Y., Han, L., Zhan, D., & Ye, H.-J. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v39i15.33748 · Cited by 21

An Internet Traffic Identification Approach Based on GA and PSO-SVM

Tan, J., Chen, X., & Du, M. (2012) · Journal of Computers · doi:10.4304/jcp.7.1.19-29 · Cited by 21

Network Traffic Obfuscation: An Adversarial Machine Learning Approach

Verma, G., Çiftçioğlu, E. N., Sheatsley, R., Chan, K., & Scott, L. (2018) · IEEE Military Communications Conference (MILCOM) · doi:10.1109/milcom.2018.8599680 · Cited by 21

Reinforcement Learning‐Based Service‐Oriented Dynamic Multipath Routing in SDN

Chiu, K.-C., Liu, C.-C., & Chou, L. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/1330993 · Cited by 21

Optimised Multi-stage TCP Traffic Classifier Based on Packet Size Distributions

Wang, X., & Parish, D. J. (2010) · International Conference on Communication Theory, Reliability, and Quality of Service (CTRQ) · doi:10.1109/ctrq.2010.24 · Cited by 21

Internet traffic classification using feed-forward neural network

Zhou, W., Dong, L., Bic, L., Ming-tian, Z., & Chen, L. (2011) · International Conference on Computational Problem-Solving (ICCP) · doi:10.1109/iccps.2011.6092257 · Cited by 21

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

Flow classification using clustering and association rule mining

Chaudhary, U. K., Papapanagiotou, I., & Devetsikiotis, M. (2010) · IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) · doi:10.1109/camad.2010.5686959 · Cited by 21

Comparing P2PTV Traffic Classifiers

Cascarano, N., Risso, F., Este, A., Gringoli, F., Salgarelli, L., Finamore, A., & Mellia, M. (2010) · International Conference on Communications · doi:10.1109/icc.2010.5501744 · Cited by 21

Realtime Encrypted Traffic Identification using Machine Learning

Gu, C., Zhang, S., & Sun, Y. (2011) · Journal of Software · doi:10.4304/jsw.6.6.1009-1016 · Cited by 20

Network traffic classification in encrypted environment: A case study of Google Hangout

Datta, J., Kataria, N., & Hubballi, N. (2015) · National Conference on Communications · doi:10.1109/ncc.2015.7084879 · Cited by 20

Quality of Experience Provision in the Future Internet

Bruni, C., Priscoli, F. D., Koch, G., Palo, A., & Pietrabissa, A. (2014) · IEEE Systems Journal · doi:10.1109/jsyst.2014.2344658 · Cited by 20

Pattern Matching of Packet Payload for Network Traffic Classification

Choi, K.-J., & Choi, J. K. (2006) · International Conference on Optical Internet · doi:10.1109/coinngncon.2006.4454587 · Cited by 6

Traffic classification in the dark

Nucci, A., & Papagiannaki, K. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511791369.013 · Cited by 2

ACCURATE AND REAL TIME METHOD FOR NETWORK PACKET CLASSIFICATION

Abdollah, F., & Melaka, A. K. (2014)

A multiple-stage classifier for identifying unknown Internet traffic

Lu, W., & Ghorbani, A. A. (2011) · IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) · doi:10.1109/pacrim.2011.6032983 · Cited by 2

Profiling and Identification of Web Applications in Computer Network

Oudah, H. (2020) · PEARL (University of Plymouth) · doi:10.24382/775