• DocumentCode
    3207062
  • Title

    Secure countermeasures to data aggregation attacks on sensor networks

  • Author

    ZareAfifi, S. ; Verma, Rajesh ; King, Bruce ; Salama, Paul ; Dongsoo Kim

  • Author_Institution
    Purdue Sch. of Eng. & Technol., Indiana Univ. Purdue Univ. Indianapolis, Indianapolis, IN, USA
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    856
  • Lastpage
    859
  • Abstract
    In this work we discuss, problems associated with aggregating data within a sensor network. Clearly, if one or more sensors are faulty, their data is questionable. In situations where data is aggregated together to form information, the accuracy of the information will also be questionable if some of the data is faulty. We briefly discuss some “simple statistical functions”, which may need to be computed using sensor data. We construct some approximation methods for aggregated statistical functions within a sensor network.
  • Keywords
    statistical analysis; wireless sensor networks; approximation methods; data aggregation attacks; sensor networks; simple statistical functions; Approximation methods; Base stations; Computational modeling; Distributed databases; Educational institutions; Seismic measurements; data aggregation attacks; faulty sensors; sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
  • Conference_Location
    Boise, ID
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4673-2526-4
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2012.6292155
  • Filename
    6292155