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An efficient data aggregation scheme for protecting the integrity of sensitive data in wireless sensor networks

  • Hyunjo Lee
  • , Tae Hoon Kim
  • , Jae Woo Chang*
  • *Corresponding author for this work
    • Jeonbuk National University

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    Since wireless sensor networks (WSNs) are resources-constrained, it is very essential to gather data efficiently. For this, data aggregation schemes are studied to minimize transmission cost in terms of the number of data packets. On the other hand, many applications want to preserve data privacy and integrity from the interception (or eavesdropping) of the data by an adversary. However, the existing schemes suffer from high communication cost. To resolve the problems, in this paper, we propose an efficient data aggregation scheme for protecting the integrity of sensitive data in WSNs. Our scheme makes use of the additive property of complex numbers to achieve sensitive data aggregation with protecting data integrity. With simulation results, we show that our scheme is much more efficient in terms of both communication overheads and integrity checking than the existing schemes for protecting integrity and privacy preserving data aggregation in WSNs.

    Original languageEnglish
    Title of host publicationUbiquitous Information Technologies and Applications, CUTE 2013
    PublisherSpringer Verlag
    Pages207-214
    Number of pages8
    ISBN (Print)9783642416705
    DOIs
    StatePublished - 2014
    Event8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013 - Danang, Viet Nam
    Duration: 2013.12.182013.12.20

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume280 LNEE
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Conference

    Conference8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013
    Country/TerritoryViet Nam
    CityDanang
    Period13.12.1813.12.20

    Keywords

    • Data aggregation
    • Data integrity
    • Data privacy
    • Signature
    • Wireless sensor network

    Quacquarelli Symonds(QS) Subject Topics

    • Engineering - Mechanical

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