메뉴 건너뛰기




Volumn , Issue , 2011, Pages 59-69

Inferring users' online activities through traffic analysis

Author keywords

Machine learning; Privacy; Traffic analysis; Users' online activities

Indexed keywords

APPLICATION SCENARIO; CLASSIFICATION SYSTEM; HIERARCHICAL CLASSIFICATION; IEEE 802.11S; NETWORK ENVIRONMENTS; ON-LINE APPLICATIONS; ON-LINE GAMING; ON-MACHINES; ONLINE ACTIVITIES; PUBLIC AREAS; SHORT PERIODS; TRAFFIC ANALYSIS; UNIVERSITY CAMPUS; USER PRIVACY; WEB BROWSING;

EID: 80051914578     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1998412.1998425     Document Type: Conference Paper
Times cited : (85)

References (35)
  • 9
  • 11
    • 80051618580 scopus 로고    scopus 로고
    • See through walls: Motion tracking using variance-based radio tomography networks
    • J. Wilson and N. Patwari. See through walls: Motion tracking using variance-based radio tomography networks. IEEE Transactions on Mobile Computing, 2010.
    • (2010) IEEE Transactions on Mobile Computing
    • Wilson, J.1    Patwari, N.2
  • 13
    • 62849120844 scopus 로고    scopus 로고
    • A survey of techniques for internet traffic classification using machine learning
    • T.T. Nguyen and G. J. Armitage. A survey of techniques for internet traffic classification using machine learning. IEEE Communications Surveys and Tutorials, 10(1-4):56-76, 2008.
    • (2008) IEEE Communications Surveys and Tutorials , vol.10 , Issue.1-4 , pp. 56-76
    • Nguyen, T.T.1    Armitage, G.J.2
  • 14
    • 80051867400 scopus 로고    scopus 로고
    • August
    • Internet Assigned Numbers Authority (IANA), August, 2008. http://www.iana.org/assignments/port-numbers.
    • (2008)
  • 16
    • 33847303101 scopus 로고    scopus 로고
    • BLINC: Multilevel traffic classification in the dark
    • DOI 10.1145/1090191.1080119
    • T. Karagiannis, K. Papagiannaki, and M. Faloutsos. BLINC: multilevel traffic classification in the dark. ACM SIGCOMM Computer Communication Review, 35(4):229-240, 2005. (Pubitemid 46323507)
    • (2005) Computer Communication Review , vol.35 , Issue.4 , pp. 229-240
    • Karagiannis, T.1    Papagiannaki, K.2    Faloutsos, M.3
  • 17
    • 33750711125 scopus 로고    scopus 로고
    • Profiling internet backbone traffic: Behavior models and applications
    • DOI 10.1145/1090191.1080112
    • K. Xu, Z.L. Zhang, and S. Bhattacharyya. Profiling internet backbone traffic: behavior models and applications. ACM SIGCOMM Computer Communication Review, 35(4):169-180, 2005. (Pubitemid 46323502)
    • (2005) Computer Communication Review , vol.35 , Issue.4 , pp. 169-180
    • Xu, K.1    Zhang, Z.-L.2    Bhattacharyya, S.3
  • 19
    • 33845735523 scopus 로고    scopus 로고
    • On inferring application protocol behaviors in encrypted network traffic
    • C.V. Wright, F. Monrose, and G.M. Masson. On inferring application protocol behaviors in encrypted network traffic. The Journal of Machine Learning Research, 7:2745-2769, 2006. (Pubitemid 46011489)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2745-2769
    • Wright, C.V.1    Monrose, F.2    Masson, G.M.3
  • 20
    • 67249118576 scopus 로고    scopus 로고
    • Classification of network traffic via packet-level hidden Markov models
    • IEEE
    • A. Dainotti, W.D. Donato, A. Pescape, S. Rossi, et al. Classification of network traffic via packet-level hidden Markov models. In Proceedings of GLOBECOM, pages 1-5. IEEE, 2008.
    • (2008) Proceedings of GLOBECOM , pp. 1-5
    • Dainotti, A.1    Donato, W.D.2    Pescape, A.3    Rossi, S.4
  • 21
    • 34548118248 scopus 로고    scopus 로고
    • Offline/realtime traffic classification using semi-supervised learning
    • DOI 10.1016/j.peva.2007.06.014, PII S0166531607000648
    • J. Erman, A. Mahanti, M. Arlitt, I. Cohen, and C. Williamson. Offline/realtime traffic classification using semi-supervised learning. Performance Evaluation, 64(9-12):1194-1213, 2007. (Pubitemid 47302132)
    • (2007) Performance Evaluation , vol.64 , Issue.9-12 , pp. 1194-1213
    • Erman, J.1    Mahanti, A.2    Arlitt, M.3    Cohen, I.4    Williamson, C.5
  • 25
    • 33244467936 scopus 로고    scopus 로고
    • Internet traffic classification using bayesian analysis techniques
    • DOI 10.1145/1064212.1064220, SIGMETRICS 2005: International Conference on Measurement and Modeling of Computer Systems - Proceedings
    • A. Moore and D. Zuev. Internet traffic classification using Bayesian analysis techniques. ACM SIGMETRICS Performance Evaluation Review, 33(1):50-60, 2005. (Pubitemid 43275409)
    • (2005) Performance Evaluation Review , vol.33 , Issue.1 , pp. 50-60
    • Moore, A.W.1    Zuev, D.2
  • 28
    • 24744455341 scopus 로고    scopus 로고
    • Converting signal strength percentage to dBm values
    • J. Bardwell. Converting signal strength percentage to dBm values. WildPackets, 2002.
    • (2002) WildPackets
    • Bardwell, J.1
  • 29
    • 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. ACM SIGCOMM Computer Communication Review, 36(5):5-16, 2006.
    • (2006) ACM SIGCOMM Computer Communication Review , vol.36 , Issue.5 , pp. 5-16
    • Williams, N.1    Zander, S.2    Armitage, G.3
  • 30
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • C.W. Hsu and C.J. Lin. A comparison of methods for multiclass support vector machines. Neural Networks, IEEE Transactions on, 13(2):415-425, 2002.
    • (2002) Neural Networks, IEEE Transactions On , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 31
    • 13444293728 scopus 로고    scopus 로고
    • Support vector machines with binary tree architecture for multi-class classification
    • S. Cheong, S.H. Oh, and S.Y. Lee. Support vector machines with binary tree architecture for multi-class classification. Neural Information Processing-Letters and Reviews, 2(3):47-51, 2004.
    • (2004) Neural Information Processing-letters and Reviews , vol.2 , Issue.3 , pp. 47-51
    • Cheong, S.1    Oh, S.H.2    Lee, S.Y.3
  • 32
    • 33646495490 scopus 로고    scopus 로고
    • Binary tree of SVM: A new fast multiclass training and classification algorithm
    • IEEE Transactions on
    • B. Fei and J. Liu. Binary tree of SVM: a new fast multiclass training and classification algorithm. Neural Networks, IEEE Transactions on, 17(3):696-704, 2006.
    • (2006) Neural Networks , vol.17 , Issue.3 , pp. 696-704
    • Fei, B.1    Liu, J.2
  • 33
    • 70449644554 scopus 로고    scopus 로고
    • Multi-class classification using support vector machines in decision tree architecture
    • IEEE
    • G. Madzarov and D. Gjorgjevikj. Multi-class classification using support vector machines in decision tree architecture. In Proceedings of EUROCON 2009, pages 288-295. IEEE.
    • Proceedings of EUROCON 2009 , pp. 288-295
    • Madzarov, G.1    Gjorgjevikj, D.2
  • 35
    • 80755134983 scopus 로고    scopus 로고
    • Traffic morphing: An efficient defense against statistical traffic analysis
    • C.V. Wright, S.E. Coull, and F. Monrose. Traffic morphing: an efficient defense against statistical traffic analysis. In Proceedings of NDSS, 2009.
    • (2009) Proceedings of NDSS
    • Wright, C.V.1    Coull, S.E.2    Monrose, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.