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Channel correlation modeling for link signature security assessment

Published:08 April 2014Publication History

ABSTRACT

It is widely accepted that wireless channels decorrelate fast over space, and half a wavelength is the key distance metric used in link signature (LS) for security assurance. However, we believe that this channel correlation model is questionable, and will lead to false sense of security. In this project, we focus on establishing correct modeling of channel correlation so as to facilitate proper guard zone designs for LS security in various wireless environments of interest.

References

  1. S. Mathur, W. Trappe, N. Mandayam, C. Ye, and A. Reznik. Radio-telepathy: Extracting a secret key from an unauthenticated wireless channel. In Proc. ACM MobiCom, San Francisco, CA, Sept. 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. N. Patwari and S. K. Kasera. Robust location distinction using temporal link signatures. In Proc. ACM MobiCom, Montreal, QC, Canada, Sept. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. Kyritsi, D. C. Cox, R. A. Valenzuela, and P. W. Wolniansky. Correlation analysis based on MIMO channel measurements in an indoor environment. IEEE J. Sel. Areas Commun., 21(5):713--720, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. X. He, H. Dai, W. Shen, and P. Ning. Is link signature dependable for wireless security. In Proc. IEEE INFOCOM (mini-conference), Turin, Italy, Apr. 2013.Google ScholarGoogle ScholarCross RefCross Ref
  5. D. S. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn. Fading correlation and its effect on the capacity of multielement antenna systems. IEEE Trans. Commun., 48(3):502--513, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  6. T. S. Rappaport. Wireless communications: Principles and practice. Publishing House of Electronics Industry, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. L. Schumacher and B. Raghothaman. Closed-form expressions for the correlation coefficient of directive antennas impinged by a multimodal truncated laplacian PAS. IEEE Trans. Wireless Commun., 4(4):1351--1359, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. X. Cheng, C. X. Wang, D. I. Laurenson, S. Salous, and A. V. Vasilakos. An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels. IEEE Trans. Wireless Commun., 8(9):4824--4835, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. G. J. Byers and F. Takawira. Spatially and temporally correlated MIMO channels: Modeling and capacity analysis. IEEE Trans. Veh. Technol., 53(3):634--643, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  10. P. Y. Chen and H. J. Li. Modeling and applications of space--time correlation for MIMO fading signals. IEEE Trans. Veh. Technol., 56(4):1580--1590, 2007.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Channel correlation modeling for link signature security assessment

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            • Published in

              cover image ACM Other conferences
              HotSoS '14: Proceedings of the 2014 Symposium and Bootcamp on the Science of Security
              April 2014
              184 pages
              ISBN:9781450329071
              DOI:10.1145/2600176

              Copyright © 2014 Owner/Author

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 8 April 2014

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              • research-article

              Acceptance Rates

              HotSoS '14 Paper Acceptance Rate12of21submissions,57%Overall Acceptance Rate34of60submissions,57%

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