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International Conference on E-Business and Telecommunications

ICETE 2010: e-Business and Telecommunications pp 172–187Cite as

Sum Aggregation in Sensor Networks While Preserving Confidentiality and Integrity

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 222))

Abstract

In some sensor network environments there is a need to protect the privacy of the individual readings as well as to ensure the integrity of the aggregated result. Many prior solutions have proposed schemes that protect either privacy or integrity, but very little work has been done on achieving both goals. In this paper, we extend a previously defined splitting scheme to provide privacy and integrity when computing the SUM aggregate. The scheme that we present achieves a usable level of privacy and integrity for the sum aggregation and does not require the usage of expensive cryptography. We also experimentally demonstrate the effectiveness of our techniques.

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Author information

Authors and Affiliations

  1. Computer Science and Software Engineering, Miami University, Oxford, Ohio, U.S.A.

    Keith B. Frikken

  2. Department of Computer Science and Engineering, University of Notre Dame, Notre Dame du Lac, Indiana, U.S.A.

    Yihua Zhang

Authors
  1. Keith B. Frikken
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  2. Yihua Zhang
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Monmouth University, 07764, West Long Branch, NJ, U.S.A.

    Mohammad S. Obaidat

  2. Department of Informatics, University of Piraeus, 185 34, Piraeus, Greece

    George A. Tsihrintzis

  3. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

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Frikken, K.B., Zhang, Y. (2012). Sum Aggregation in Sensor Networks While Preserving Confidentiality and Integrity. In: Obaidat, M.S., Tsihrintzis, G.A., Filipe, J. (eds) e-Business and Telecommunications. ICETE 2010. Communications in Computer and Information Science, vol 222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25206-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-25206-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25205-1

  • Online ISBN: 978-3-642-25206-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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