Fuzzy controller for a dynamic window in elliptic curve cryptography wireless networks for scalar multiplication

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    16 Citations (Scopus)

    Abstract

    Abstract—The rapid progress of wireless communications and embedded micro-electro-mechanical systems technologies has made wireless sensor networks (WSN) possible. However, the security of the WSN becomes one of the major concerns in its applications. Elliptic curve cryptography (ECC) prominently provides solid potential for wireless sensor network security due to its small key size and its high security strength. However, there is a urgent need to reduce key calculation time to satisfy the full range of potential applications, in particularly for those applications involved wireless sensor networks (WSN). It is well known that scalar multiplication operation in ECC accounts for about 80% of key calculation time on wireless sensor network motes. In this paper we present a fuzzy controller for a dynamic window sizing to allow the calculation processing to run under optimum conditions by balanced case allocating available RAM and ROM at the sensor node within a wireless sensor network. The whole quality of Service (QoS) is improved, in particular the power consuming is more efficiently. The simulation results showed that the average calculation time decreased by approximately 15% in comparison to traditional algorithms in an ECC wireless sensor network
    Original languageEnglish
    Title of host publicationProceedings for the 16th Asia-Pacific Conference on Communications (APCC)
    Place of PublicationWashington, DC, USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages458-463
    Number of pages6
    Volume1
    ISBN (Print)9781424481279
    DOIs
    Publication statusPublished - 2010
    EventAPCC 2010: 16th Asia-Pacific Conference on Communications - Auckland, New Zealand
    Duration: 31 Oct 20103 Nov 2010

    Conference

    ConferenceAPCC 2010: 16th Asia-Pacific Conference on Communications
    CountryNew Zealand
    CityAuckland
    Period31/10/103/11/10

    Fingerprint

    Cryptography
    Wireless sensor networks
    Wireless networks
    Controllers
    ROM
    Network security
    Random access storage
    Sensor nodes
    Quality of service
    Communication
    Processing

    Cite this

    Huang, X., & Sharma, D. (2010). Fuzzy controller for a dynamic window in elliptic curve cryptography wireless networks for scalar multiplication. In Proceedings for the 16th Asia-Pacific Conference on Communications (APCC) (Vol. 1, pp. 458-463). Washington, DC, USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/APCC.2010.5679992
    Huang, Xu ; Sharma, Dharmendra. / Fuzzy controller for a dynamic window in elliptic curve cryptography wireless networks for scalar multiplication. Proceedings for the 16th Asia-Pacific Conference on Communications (APCC). Vol. 1 Washington, DC, USA : IEEE, Institute of Electrical and Electronics Engineers, 2010. pp. 458-463
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    title = "Fuzzy controller for a dynamic window in elliptic curve cryptography wireless networks for scalar multiplication",
    abstract = "Abstract—The rapid progress of wireless communications and embedded micro-electro-mechanical systems technologies has made wireless sensor networks (WSN) possible. However, the security of the WSN becomes one of the major concerns in its applications. Elliptic curve cryptography (ECC) prominently provides solid potential for wireless sensor network security due to its small key size and its high security strength. However, there is a urgent need to reduce key calculation time to satisfy the full range of potential applications, in particularly for those applications involved wireless sensor networks (WSN). It is well known that scalar multiplication operation in ECC accounts for about 80{\%} of key calculation time on wireless sensor network motes. In this paper we present a fuzzy controller for a dynamic window sizing to allow the calculation processing to run under optimum conditions by balanced case allocating available RAM and ROM at the sensor node within a wireless sensor network. The whole quality of Service (QoS) is improved, in particular the power consuming is more efficiently. The simulation results showed that the average calculation time decreased by approximately 15{\%} in comparison to traditional algorithms in an ECC wireless sensor network",
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    Huang, X & Sharma, D 2010, Fuzzy controller for a dynamic window in elliptic curve cryptography wireless networks for scalar multiplication. in Proceedings for the 16th Asia-Pacific Conference on Communications (APCC). vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Washington, DC, USA, pp. 458-463, APCC 2010: 16th Asia-Pacific Conference on Communications, Auckland, New Zealand, 31/10/10. https://doi.org/10.1109/APCC.2010.5679992

    Fuzzy controller for a dynamic window in elliptic curve cryptography wireless networks for scalar multiplication. / Huang, Xu; Sharma, Dharmendra.

    Proceedings for the 16th Asia-Pacific Conference on Communications (APCC). Vol. 1 Washington, DC, USA : IEEE, Institute of Electrical and Electronics Engineers, 2010. p. 458-463.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    N2 - Abstract—The rapid progress of wireless communications and embedded micro-electro-mechanical systems technologies has made wireless sensor networks (WSN) possible. However, the security of the WSN becomes one of the major concerns in its applications. Elliptic curve cryptography (ECC) prominently provides solid potential for wireless sensor network security due to its small key size and its high security strength. However, there is a urgent need to reduce key calculation time to satisfy the full range of potential applications, in particularly for those applications involved wireless sensor networks (WSN). It is well known that scalar multiplication operation in ECC accounts for about 80% of key calculation time on wireless sensor network motes. In this paper we present a fuzzy controller for a dynamic window sizing to allow the calculation processing to run under optimum conditions by balanced case allocating available RAM and ROM at the sensor node within a wireless sensor network. The whole quality of Service (QoS) is improved, in particular the power consuming is more efficiently. The simulation results showed that the average calculation time decreased by approximately 15% in comparison to traditional algorithms in an ECC wireless sensor network

    AB - Abstract—The rapid progress of wireless communications and embedded micro-electro-mechanical systems technologies has made wireless sensor networks (WSN) possible. However, the security of the WSN becomes one of the major concerns in its applications. Elliptic curve cryptography (ECC) prominently provides solid potential for wireless sensor network security due to its small key size and its high security strength. However, there is a urgent need to reduce key calculation time to satisfy the full range of potential applications, in particularly for those applications involved wireless sensor networks (WSN). It is well known that scalar multiplication operation in ECC accounts for about 80% of key calculation time on wireless sensor network motes. In this paper we present a fuzzy controller for a dynamic window sizing to allow the calculation processing to run under optimum conditions by balanced case allocating available RAM and ROM at the sensor node within a wireless sensor network. The whole quality of Service (QoS) is improved, in particular the power consuming is more efficiently. The simulation results showed that the average calculation time decreased by approximately 15% in comparison to traditional algorithms in an ECC wireless sensor network

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    Huang X, Sharma D. Fuzzy controller for a dynamic window in elliptic curve cryptography wireless networks for scalar multiplication. In Proceedings for the 16th Asia-Pacific Conference on Communications (APCC). Vol. 1. Washington, DC, USA: IEEE, Institute of Electrical and Electronics Engineers. 2010. p. 458-463 https://doi.org/10.1109/APCC.2010.5679992