[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/2179298.2179334acmotherconferencesArticle/Chapter ViewAbstractPublication PagescsiirwConference Proceedingsconference-collections
research-article

Network traffic classification using a parallel neural network classifier architecture

Published: 12 October 2011 Publication History
First page of PDF

Supplementary Material

Supplemental material. (a33-mathewos_slide.pdf)

References

[1]
A. W. Moore and D. Zuev, "Internet traffic classification using Bayesian analysis techniques", SIGMETRICS Perform. Eval. Rev., vol. 33, pp.50-60, 2005.
[2]
M.E. Crovella and A. Bestavros, "Self-similarity in World Wide Web traffic: Evidence and possible causes," IEEE/ACM Transactions on Networking, Vol. 5, pp. 835-846, 1997.
[3]
A. W. Moore and D. Zuev. "Discriminators for use in flow-based classification". Technical report, Intel Research, Cambridge, 2005.
[4]
F. M. Ham, K. Rekab, R. Acharyya, and Y.-C. Lee, "Infrasound signal classification using parallel RBF Neural Networks," Int. J. Signal and Imaging Systems Engineering, vol. 1, Nos. 3/4, pp. 155-167, 2008.
[5]
J. Park, H. R. Tyan, C. Kuo. Internet traffic classification for scalable QoS provision. In 2006 IEEE International Conference on Multimedia and Expo. Toronto, Ontario, Canada, pages 1221-1224, 2006.
[6]
F.M. Ham, and I. Kostanic, Principles of Neurocomputing for Science and Engineering. New York: McGraw-Hill, 2001.
[7]
Runyuan Sun, Bo Yang, Lizhi Peng, Zhenxiang Chen, Lei Zhang, Shan Jing, "Traffic classification using probabilistic neural networks," International Conference on Natural Computation, Vol. 4, pp. 1914-1919, 2010.
[8]
M. Crotti, M. Dusi, F. Gringoli, and L. Salgarelli. Traffic classification through simple statistical fingerprinting. ACM IGCOMM CCR, 37(1):7-16, January 2007.
[9]
T.Fawcett, "An Introduction to ROC Analysis," Pattern Recognition letters 27, pp. 861-874, 2006.
[10]
S. Zander, T.T.T. Nguyen, G. Armitage, "Self-learning IP Traffic Classification based on Statistical Flow Characteristics", Passive & Active Measurement Workshop (PAM) 2005, Boston, USA, March/April 2005.
[11]
V. Paxson, Empirically derived analytic models of wide-area tcp connections. IEEE/ACM Trans. Netw. 2 (August 1994), 316-336.
[12]
T. Karagiannis, K. Papagiannaki, and M. Faloutsos. BLINC: multilevel traffic classification in the dark. In SIGCOMM'05: Proceedings of the 2005 Conference on Applications, Technologies, Architectures and Protocols for Computer Communications, pages 229-240, Philadelphia, PA, Aug. 2005.
[13]
D. Moore, K. Keys, R. Koga, E. Lagache, and K.C. Claffy. The CorralReef Software Suite as a Tool For System and Network Administrators. In LISA'01: Proceedings of the 15th USENIX Conference on Systems Administration, pages 133-144, San Diego, CA, December 2001.
[14]
Byrski, A., and Carvalho, M. Agent-based immunological intrusion detection system for mobile ad-hoc networks. In Proceedings of the 8th international conference on Computational Science, Part III (Berlin, Heidelberg, 2008), ICCS '08, Springer-Verlag, pp. 584-593.
[15]
G. Zecevic. Web based interface to scada system. In Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on, volume 2, pages 1218-1221 vol.2, Aug. 1998.

Cited By

View all
  • (2017)Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of ThingsIEEE Access10.1109/ACCESS.2017.27475605(18042-18050)Online publication date: 2017
  • (2013)A Scalable Approach to Network Traffic Classification for Computer Network Defense using Parallel Neural Network Classifier ArchitecturesEfficiency and Scalability Methods for Computational Intellect10.4018/978-1-4666-3942-3.ch009(181-196)Online publication date: 2013

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
CSIIRW '11: Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research
October 2011
18 pages
ISBN:9781450309455
DOI:10.1145/2179298
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Eurosis: Eurosis
  • Oak Ridge National Laboratory
  • University of Tennessee: University of Tennessee

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 October 2011

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article

Conference

CSIIRW '11
Sponsor:
  • Eurosis
  • University of Tennessee

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)4
  • Downloads (Last 6 weeks)1
Reflects downloads up to 21 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2017)Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of ThingsIEEE Access10.1109/ACCESS.2017.27475605(18042-18050)Online publication date: 2017
  • (2013)A Scalable Approach to Network Traffic Classification for Computer Network Defense using Parallel Neural Network Classifier ArchitecturesEfficiency and Scalability Methods for Computational Intellect10.4018/978-1-4666-3942-3.ch009(181-196)Online publication date: 2013

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media