• DocumentCode
    491823
  • Title

    Accurate modeling for predicting cryptography overheads on wireless sensor nodes

  • Author

    Liu, Wei ; Ying, Beihua ; Yang, Huazhong ; Wang, Hui

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • Volume
    02
  • fYear
    2009
  • fDate
    15-18 Feb. 2009
  • Firstpage
    997
  • Lastpage
    1001
  • Abstract
    Resource constraints make it considerably difficult to implement and optimize cryptography algorithms on sensor nodes. In order to provide guidelines for design, it is necessary to predict overheads of these algorithms without final implementations and optimizations. In this paper, a mathematical model based on overheads of basic operations frequently used in cryptography algorithms is presented for predicting overheads of these algorithms. Simulation results of practical implementations of several popular algorithms verify that this model is very accurate. Because these basic operations cannot be ignored when implementing cryptography algorithms, the prediction results can be used as lower bounds of overheads. More importantly, as these basic operations are also elements of other applications such as data processing, their overheads can also be used to predict overheads of those applications using the same method.
  • Keywords
    cryptography; wireless sensor networks; cryptography overheads; mathematical model; prediction results; wireless sensor nodes; Algorithm design and analysis; Constraint optimization; Cryptography; Data processing; Design optimization; Guidelines; Mathematical model; Prediction algorithms; Predictive models; Wireless sensor networks; Wireless sensor networks; cryptography algorithm; mathematical model; overhead; prediction results; simulation results;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
  • Conference_Location
    Phoenix Park
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-138-7
  • Electronic_ISBN
    1738-9445
  • Type

    conf

  • Filename
    4809582