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Volumn 23, Issue 4, 2015, Pages 1257-1270

Robust Network Traffic Classification

Author keywords

Semi supervised learning; traffic classification; zero day applications

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; DECISION TREES; LEARNING ALGORITHMS; LEARNING SYSTEMS; NETWORK MANAGEMENT; SUPERVISED LEARNING;

EID: 85028213162     PISSN: 10636692     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNET.2014.2320577     Document Type: Article
Times cited : (339)

References (47)
  • 1
    • 84871941769 scopus 로고    scopus 로고
    • Tech. Rep., [Online]
    • Cisco Systems, Inc., San Jose, CA, USA, "Cisco WAN and application optimization solution guide," Tech. Rep., 2008 [Online]. Available: http://www.cisco.com/c/en/us/td/docs/nsite/enterprise/wan/wan-optimization/wan-opt-sg.html
    • (2008) Cisco WAN and Application Optimization Solution Guide
  • 2
    • 62849120844 scopus 로고    scopus 로고
    • A survey of techniques for internet traffic classification using machine learning
    • 4th Quart
    • T. Nguyen and G. Armitage, "A survey of techniques for Internet traffic classification using machine learning," IEEE Commun. Surveys Tuts., vol. 10, no. 4, pp. 56-76, 4th Quart., 2008.
    • (2008) IEEE Commun. Surveys Tuts. , vol.10 , Issue.4 , pp. 56-76
    • Nguyen, T.1    Armitage, G.2
  • 3
    • 70350771144 scopus 로고    scopus 로고
    • Internet traffic classification demystified: Myths, caveats, and the best practices
    • H. Kim et al., "Internet traffic classification demystified: myths, caveats, and the best practices," in Proc. ACM CoNEXT Conf., 2008, pp. 1-12.
    • (2008) Proc. ACM CoNEXT Conf. , pp. 1-12
    • Kim, H.1
  • 4
    • 84870950267 scopus 로고    scopus 로고
    • Network traffic classification using correlation information
    • Jan.
    • J. Zhang et al., "Network traffic classification using correlation information," IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 1, pp. 104-117, Jan. 2013.
    • (2013) IEEE Trans. Parallel Distrib. Syst. , vol.24 , Issue.1 , pp. 104-117
    • Zhang, J.1
  • 6
    • 33244467936 scopus 로고    scopus 로고
    • Internet traffic classification using Bayesian analysis techniques
    • A. Moore and D. Zuev, "Internet traffic classification using Bayesian analysis techniques," Perform. Eval. Rev., vol. 33, no. 1, pp. 50-60, 2005.
    • (2005) Perform. Eval. Rev. , vol.33 , Issue.1 , pp. 50-60
    • Moore, A.1    Zuev, D.2
  • 7
    • 33846098197 scopus 로고    scopus 로고
    • Bayesian neural networks for internet traffic classification
    • Jan.
    • T. Auld, A. Moore, and S. Gull, "Bayesian neural networks for Internet traffic classification," IEEE Trans. Neural Netw., vol. 18, no. 1, pp. 223-239, Jan. 2007.
    • (2007) IEEE Trans. Neural Netw. , vol.18 , Issue.1 , pp. 223-239
    • Auld, T.1    Moore, A.2    Gull, S.3
  • 8
    • 67650713589 scopus 로고    scopus 로고
    • Support vector machines for TCP traffic classification
    • A. Este, F. Gringoli, and L. Salgarelli, "Support vector machines for TCP traffic classification," Comput. Netw., vol. 53, no. 14, pp. 2476-2490, 2009.
    • (2009) Comput. Netw. , vol.53 , Issue.14 , pp. 2476-2490
    • Este, A.1    Gringoli, F.2    Salgarelli, L.3
  • 9
    • 35348815604 scopus 로고    scopus 로고
    • Identifying and discriminating between web and peer-to-peer traffic in the network core
    • J. Erman, A. Mahanti, M. Arlitt, and C. Williamson, "Identifying and discriminating between web and peer-to-peer traffic in the network core," in Proc. Int. Conf. World Wide Web, 2007, pp. 883-892.
    • (2007) Proc. Int. Conf. World Wide Web , pp. 883-892
    • Erman, J.1    Mahanti, A.2    Arlitt, M.3    Williamson, C.4
  • 12
    • 46149109490 scopus 로고    scopus 로고
    • Training on multiple sub-flows to optimise the use of machine learning classifiers in real-world IP networks
    • T. Nguyen and G. Armitage, "Training on multiple sub-flows to optimise the use of machine learning classifiers in real-world IP networks," in IEEE Conf. Local Comput. Netw., 2006, pp. 369-376.
    • (2006) IEEE Conf. Local Comput. Netw. , pp. 369-376
    • Nguyen, T.1    Armitage, G.2
  • 13
    • 85042755349 scopus 로고    scopus 로고
    • Timely and continuous machine-learning-based classification for interactive IP traffic
    • Dec.
    • T. Nguyen, G. Armitage, P. Branch, and S. Zander, "Timely and continuous machine-learning-based classification for interactive IP traffic," IEEE/ACM Trans. Netw., vol. 20, no. 6, pp. 1880-1894, Dec. 2012.
    • (2012) IEEE/ACM Trans. Netw. , vol.20 , Issue.6 , pp. 1880-1894
    • Nguyen, T.1    Armitage, G.2    Branch, P.3    Zander, S.4
  • 14
    • 79953769526 scopus 로고    scopus 로고
    • Abacus: Accurate behavioral classification P2P-TV traffic
    • P. Bermolen, M. Mellia, M. Meo, D. Rossi, and S. Valenti, "Abacus: Accurate behavioral classification P2P-TV traffic," Comput. Netw., vol. 55, no. 6, pp. 1394-1411, 2011.
    • (2011) Comput. Netw. , vol.55 , Issue.6 , pp. 1394-1411
    • Bermolen, P.1    Mellia, M.2    Meo, M.3    Rossi, D.4    Valenti, S.5
  • 16
    • 84859393329 scopus 로고    scopus 로고
    • A modular machine learning system for flow-level traffic classification in large networks
    • Y. Jin et al., "A modular machine learning system for flow-level traffic classification in large networks," Trans. Knowl. Discov. Data, vol. 6, no. 1, pp. 4:1-4:34, 2012.
    • (2012) Trans. Knowl. Discov. Data , vol.6 , Issue.1 , pp. 1-34
    • Jin, Y.1
  • 17
    • 79955115896 scopus 로고    scopus 로고
    • Better network traffic identification through the independent combination of techniques
    • A. Callado, J. Kelner, D. Sadok, C. A. Kamienski, and S. Fernandes, "Better network traffic identification through the independent combination of techniques," J. Netw. Comput. Appl., vol. 33, no. 4, pp. 433-446, 2010.
    • (2010) J. Netw. Comput. Appl. , vol.33 , Issue.4 , pp. 433-446
    • Callado, A.1    Kelner, J.2    Sadok, D.3    Kamienski, C.A.4    Fernandes, S.5
  • 18
  • 20
    • 48749130030 scopus 로고    scopus 로고
    • Traffic classification through simple statistical fingerprinting
    • M. Crotti, M. Dusi, F. Gringoli, and L. Salgarelli, "Traffic classification through simple statistical fingerprinting," Comput. Commun. Rev., vol. 37, pp. 5-16, 2007.
    • (2007) Comput. Commun. Rev. , vol.37 , pp. 5-16
    • Crotti, M.1    Dusi, M.2    Gringoli, F.3    Salgarelli, L.4
  • 23
    • 33751393658 scopus 로고    scopus 로고
    • Automated traffic classification and application identification using machine learning
    • S. Zander, T. Nguyen, and G. Armitage, "Automated traffic classification and application identification using machine learning," in Proc. Annu. IEEE Conf. Local Comput. Netw., 2005, pp. 250-257.
    • (2005) Proc. Annu. IEEE Conf. Local Comput. Netw. , pp. 250-257
    • Zander, S.1    Nguyen, T.2    Armitage, G.3
  • 26
    • 80053088040 scopus 로고    scopus 로고
    • P2P traffic identification and optimization using fuzzy c-means clustering
    • D. Liu and C. Lung, "P2P traffic identification and optimization using fuzzy c-means clustering," in Proc. IEEE Int. Conf. Fuzzy Syst., 2011, pp. 2245-2252.
    • (2011) Proc. IEEE Int. Conf. Fuzzy Syst. , pp. 2245-2252
    • Liu, D.1    Lung, C.2
  • 28
    • 77956489422 scopus 로고    scopus 로고
    • An automatic application signature construction system for unknown traffic
    • Y. Wang, Y. Xiang, and S.-Z. Yu, "An automatic application signature construction system for unknown traffic," Concurrency Comput., Pract. Exper., vol. 22, no. 13, pp. 1927-1944, 2010.
    • (2010) Concurrency Comput., Pract. Exper. , vol.22 , Issue.13 , pp. 1927-1944
    • Wang, Y.1    Xiang, Y.2    Yu, S.-Z.3
  • 29
    • 79955122296 scopus 로고    scopus 로고
    • Mining unclassified traffic using automatic clustering techniques
    • A. Finamore, M. Mellia, and M. Meo, "Mining unclassified traffic using automatic clustering techniques," Traffic Monitoring Anal., vol. 6613, pp. 150-163, 2011.
    • (2011) Traffic Monitoring Anal. , vol.6613 , pp. 150-163
    • Finamore, A.1    Mellia, M.2    Meo, M.3
  • 31
    • 14944383480 scopus 로고    scopus 로고
    • Class-of-service mapping for QoS: A statistical signature-based approach to IP traffic classification
    • M. Roughan, S. Sen, O. Spatscheck, and N. Duffield, "Class-of-service mapping for QoS: A statistical signature-based approach to IP traffic classification," in Proc. 4th ACM SIGCOMM Conf. Internet Meas., 2004, pp. 135-148.
    • (2004) Proc. 4th ACM SIGCOMM Conf. Internet Meas. , pp. 135-148
    • Roughan, M.1    Sen, S.2    Spatscheck, O.3    Duffield, N.4
  • 32
    • 33750283653 scopus 로고    scopus 로고
    • A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
    • N. Williams, S. Zander, and G. Armitage, "A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification," Comput. Commun. Rev., vol. 36, pp. 5-16, 2006.
    • (2006) Comput. Commun. Rev. , vol.36 , pp. 5-16
    • Williams, N.1    Zander, S.2    Armitage, G.3
  • 33
    • 84866402157 scopus 로고    scopus 로고
    • Internet traffic classification demystified: On the sources of the discriminative power
    • Y. Lim et al., "Internet traffic classification demystified: on the sources of the discriminative power," in Proc. ACM CoNEXT Conf., 2010, pp. 9:1-9:12.
    • (2010) Proc. ACM CoNEXT Conf. , pp. 1-12
    • Lim, Y.1
  • 34
    • 79551478560 scopus 로고    scopus 로고
    • Netramark: A network traffic classification benchmark
    • S. Lee et al., "Netramark: a network traffic classification benchmark," Comput. Commun. Rev., vol. 41, no. 1, pp. 22-30, 2011.
    • (2011) Comput. Commun. Rev. , vol.41 , Issue.1 , pp. 22-30
    • Lee, S.1
  • 35
    • 34548118248 scopus 로고    scopus 로고
    • Offline/realtime traffic classification using semi-supervised learning
    • J. Erman, A. Mahanti, M. Arlitt, I. Cohen, and C. Williamson, "Offline/realtime traffic classification using semi-supervised learning," Perform. Eval., vol. 64, no. 9, pp. 1194-1213, 2007.
    • (2007) Perform. Eval. , vol.64 , Issue.9 , pp. 1194-1213
    • Erman, J.1    Mahanti, A.2    Arlitt, M.3    Cohen, I.4    Williamson, C.5
  • 36
    • 80054970530 scopus 로고    scopus 로고
    • MINETRAC: Mining flows for unsupervised analysis & semi-supervised classification
    • P. Casas, J. Mazel, and P. Owezarski, "MINETRAC: Mining flows for unsupervised analysis & semi-supervised classification," in Proc. 23rd Int. Teletraffic Congr., 2011, pp. 87-94.
    • (2011) Proc. 23rd Int. Teletraffic Congr. , pp. 87-94
    • Casas, P.1    Mazel, J.2    Owezarski, P.3
  • 37
    • 84866031578 scopus 로고    scopus 로고
    • Semi-supervised encrypted traffic classification using composite features set
    • H. Liu, Z. Wang, and Y. Wang, "Semi-supervised encrypted traffic classification using composite features set," J. Netw., vol. 7, no. 8, pp. 1195-1200, 2012.
    • (2012) J. Netw. , vol.7 , Issue.8 , pp. 1195-1200
    • Liu, H.1    Wang, Z.2    Wang, Y.3
  • 42
    • 67650685798 scopus 로고    scopus 로고
    • Service-based traffic classification: Principles and validation
    • M. Baldi, A. Baldini, N. Cascarano, and F. Risso, "Service-based traffic classification: Principles and validation," in Proc. IEEE SARNOFF, 2009, pp. 1-6.
    • (2009) Proc. IEEE SARNOFF , pp. 1-6
    • Baldi, M.1    Baldini, A.2    Cascarano, N.3    Risso, F.4
  • 43
    • 77955407885 scopus 로고    scopus 로고
    • Comparing p2ptv traffic classifiers
    • N. Cascarano et al., "Comparing p2ptv traffic classifiers," in Proc. IEEE ICC, 2010, pp. 1-6.
    • (2010) Proc. IEEE ICC , pp. 1-6
    • Cascarano, N.1
  • 46
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," J. Mach. Learning Res., vol. 3, pp. 1157-1182, 2003.
    • (2003) J. Mach. Learning Res. , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 47
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, "Random forests," Mach. Learning, vol. 45, no. 1, pp. 5-32, 2001.
    • (2001) Mach. Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1


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