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International Conference on Sensor Systems and Software

S-CUBE 2010: Sensor Systems and Software pp 135–150Cite as

SeDAP: Secure Data Aggregation Protocol in Privacy Aware Wireless Sensor Networks

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Abstract

Wireless Sensor Networks are characterized by very tight energy requirements and therefore they impose strict constraints on the amount of data that can be transmitted by sensors nodes. In order to achieve such a goal many data aggregation algorithm have been defined. However, in order to ensure a broad deployment of the innovative services delivered by WSNs, strict requirements on security and privacy must be also satisfied. The aim of this paper is to present an integrated framework, named SeDAP, that deals with end-to-end data aggregation and privacy issues.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Comunicazione, Università degli studi dell’Insubria, Via Mazzini, 5-21100, Varese, Italy

    Alberto Coen Porisini & Sabrina Sicari

Authors
  1. Alberto Coen Porisini
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  2. Sabrina Sicari
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Editor information

Editors and Affiliations

  1. School of Computing and Information Engineering, University of Ulster, Cromore Road, BT52 1SA,, Coleraine, Co. Londonderry, Northern Ireland, United Kingdom

    Gerard Par

  2. School of Computing and Information Engineering, University of Ulster, Cromore Road, BT52 1SA, Coleraine, Co. Londonderry, Northern Ireland, United Kingdom

    Philip Morrow

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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Coen Porisini, A., Sicari, S. (2011). SeDAP: Secure Data Aggregation Protocol in Privacy Aware Wireless Sensor Networks. In: Par, G., Morrow, P. (eds) Sensor Systems and Software. S-CUBE 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23583-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-23583-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23582-5

  • Online ISBN: 978-3-642-23583-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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