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Spectral probing, crosstalk and frequency multiplexing in internet paths

Published: 20 October 2008 Publication History

Abstract

We present an end-to-end active probing methodology that creates frequency-domain signals in IP network paths. The signals are generated by periodic packet trains that cause short-lived queueing delay spikes. Different probers can be multiplexed in the frequency-domain on the same path. Further, a signal that is introduced by a "prober" in one path can cause a crosstalk effect, inducing a signal of the same frequency into another path (the "sampler") as long as the two paths share one or more bottleneck queues. Applications of the proposed methodology include the detection of shared store-and-forward devices among two or more paths, the creation of covert channels, and the modulation of voice or video periodic packet streams in less noisy frequencies. In this paper we focus on the first application. Our goal is to detect shared bottleneck(s) between a "sampler" and one or more "prober" paths. We present a spectral probing methodology as well as the corresponding signal processing/detection process. The accuracy of the method has been evaluated with controlled and repeatable simulation experiments, and it has also been tested on some Internet paths.

References

[1]
B. Augustin, X. Cuvellier, B. Orgogozo, F. Viger, T. Friedman, M. Latapy, C. Magnien, and R. Teixeira. Avoiding traceroute anomalies with Paris Traceroute. In Proc. ACM SIGCOMM IMC, Rio de Janiero, Brazil, Oct. 2006.
[2]
P. Barford, J. Kline, D. Plonka, and A. Ron. A signal analysis of network traffic anomalies. In Proceedings of ACM SIGCOMM IMW, pages 71--82, New York, NY, USA, 2002. ACM.
[3]
P. Bloomfield. Fourier Analysis of Time Series: An Introduction. Wiley-Interscience, 2nd edition, 2000.
[4]
A. Broido, E. Nemeth, and kc claffy. Spectroscopy of private DNS update sources. In Proceedings of the Third IEEE Workshop on Internet Applications, page 19, Washington, DC, USA, 2003. IEEE Computer Society.
[5]
A. B. Carlson, P. Crilly, and J. Rutledge. Communication Systems (4th edition). McGraw-Hill, 2004.
[6]
A. Chen, J. Cao, and T. Bu. Network tomography: Identifiability and Fourier domain estimation. pages 1875--1883, 2007.
[7]
C.-M. Cheng, H. Kung, and K.-S. Tan. Use of spectral analysis in defense against DoS attacks. In Proceedings of IEEE GLOBECOM. IEEE, 2002.
[8]
D. Cousins, C. Partridge, K. Bongiovanni, A. Jackson, R. Krishnan, T. Saxena, and W. Strayer. Understanding Encrypted Networks Through Signal and Systems Analysis of Traffic Timing. In Proceedings of IEEE Aerospace Conference, Mar. 2003.
[9]
I. Csabai. 1/f Noise in Computer Network Traffic. Journal of Physics A, A27(L417-421), 1994.
[10]
W. Cui, S. Machiraju, R. H. Katz, and I. Stoica. SCONE: A tool to estimate shared congestion among Internet paths. UCB Technical Report UCB/CSD-04-1320.
[11]
X. He, C. Papadopoulos, J. Heidemann, and A. Hussain. Spectral characteristics of saturated links. Technical Report USC/CS-TR-2004-827, USC, June 2004.
[12]
X. He, C. Papadopoulos, J. Heidemann, U. Mitra, U. Riaz, and A. Hussain. Spectral analysis of bottleneck traffic. Technical Report USC/CS-TR-2005-853, USC, June 2005.
[13]
P. Huang, A. Feldmann, and W. Willinger. A non-instrusive, wavelet-based approach to detecting network performance problems. In Proceedings of ACM SIGCOMM IMW, pages 213--227, New York, NY, USA, 2001. ACM.
[14]
A. Hussain, J. Heidemann, and C. Papadopoulos. A framework for classifying denial of service attacks. In Proceedings of ACM SIGCOMM, pages 99--110, New York, NY, USA, 2003. ACM.
[15]
D. Katabi and C. Blake. Inferring congestion sharing and path characteristics from packet interarrival times. Technical Report MIT-LCS-TR-828, MIT, 2002.
[16]
M. S. Kim, T. Kim, Y. Shin, S. S. Lam, and E. J. Powers. A wavelet-based approach to detect shared congestion. In Proceedings of ACM SIGCOMM, pages 293--306, New York, NY, USA, 2004. ACM.
[17]
M. S. Kim, T. Kim, Y. J. Shin, S. S. Lam, and E. J. Powers. Scalable clustering of Internet paths by shared congestion. Proceedings of IEEE INFOCOM, pages 1--10, 2006.
[18]
S. Li and J. Pruneski. The linearity of low frequency traffic flow: An intrinsic i/o property in queueing systems. IEEE/ACM TON, 5(3):429--443, jun 1997.
[19]
S. B. Moon, P. Skelly, and D. Towsley. Estimation and removal of clock skew from network delay measurements. In Proceedings of IEEE INFOCOM, 1999.
[20]
A. V. Oppenheim and R. W. Schafer. Discrete-Time Signal Processing. Prentice Hall, 1989.
[21]
C. Partridge and D. Cousins. Systems and methods for creating covert channels using packet frequencies. United States Patent Application 20030091064, May 2003.
[22]
M. Rabbat, M. Coates, and R. D. Nowak. Multiple-source Internet tomography. IEEE JSAC, 24(12):2221--2234, 2006.
[23]
R. S. Tsay. Outliers, Level Shifts, and Variance Changes in Time Series. Journal of Forecasting, 1988.
[24]
D. Rubenstein, J. Kurose, and D. Towsley. Detecting shared congestion of flows via end-to-end measurement. IEEE/ACM TON, 10(3):381--395, 2002.
[25]
Y. Zhang, N. Duffield, V. Paxson, and S. Shenker. On the Constancy of Internet Path Properties. In ACM SIGCOMM IMW, pages 197--211, Nov. 2001.

Cited By

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  • (2014)Practical passive shared bottleneck detection using shape summary statistics39th Annual IEEE Conference on Local Computer Networks10.1109/LCN.2014.6925767(150-158)Online publication date: Sep-2014
  • (2014)Lightweight enhanced monitoring for high speed networksTransactions on Emerging Telecommunications Technologies10.1002/ett.263725:11(1095-1113)Online publication date: 1-Nov-2014
  • (2013)TCP path sharing detection2013 IEEE 11th Malaysia International Conference on Communications (MICC)10.1109/MICC.2013.6805833(244-249)Online publication date: Nov-2013
  • Show More Cited By

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    cover image ACM Conferences
    IMC '08: Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
    October 2008
    352 pages
    ISBN:9781605583341
    DOI:10.1145/1452520
    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]

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    Publication History

    Published: 20 October 2008

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    Author Tags

    1. active probing
    2. distributed agents
    3. fourier transform
    4. frequency multiplexing
    5. network management
    6. signal processing

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    IMC08: Internet Measurement Conference
    October 20 - 22, 2008
    Vouliagmeni, Greece

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    Overall Acceptance Rate 277 of 1,083 submissions, 26%

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    Cited By

    View all
    • (2014)Practical passive shared bottleneck detection using shape summary statistics39th Annual IEEE Conference on Local Computer Networks10.1109/LCN.2014.6925767(150-158)Online publication date: Sep-2014
    • (2014)Lightweight enhanced monitoring for high speed networksTransactions on Emerging Telecommunications Technologies10.1002/ett.263725:11(1095-1113)Online publication date: 1-Nov-2014
    • (2013)TCP path sharing detection2013 IEEE 11th Malaysia International Conference on Communications (MICC)10.1109/MICC.2013.6805833(244-249)Online publication date: Nov-2013
    • (2011)Spectral Models for Bitrate Measurement from Packet Sampled TrafficIEEE Transactions on Network and Service Management10.1109/TNSM.2011.050311.1000358:2(141-152)Online publication date: Jun-2011
    • (2011)Temporal resolution adaptation in real-time bitrate estimation from packed sampled traffic2011 7th International Wireless Communications and Mobile Computing Conference10.1109/IWCMC.2011.5982668(1590-1595)Online publication date: Jul-2011
    • (2010)A frequency domain model to predict the estimation accuracy of packet samplingProceedings of the 29th conference on Information communications10.5555/1833515.1833554(191-195)Online publication date: 14-Mar-2010
    • (2010)A Frequency Domain Model to Predict the Estimation Accuracy of Packet Sampling2010 Proceedings IEEE INFOCOM10.1109/INFCOM.2010.5462245(1-5)Online publication date: Mar-2010
    • (2009)An analysis of packet sampling in the frequency domainProceedings of the 9th ACM SIGCOMM conference on Internet measurement10.1145/1644893.1644913(170-176)Online publication date: 4-Nov-2009

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