Dynamic window with fuzzy controller in wireless sensor networks for elliptic curve cryptography

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

1 Citation (Scopus)


Elliptic curve cryptosystem (ECC) was proposed by Miller [10] and Koblitz [9] which relies on the difficulty of elliptic curve discrete logarithmic problem (ECDLP). It is gaining wide acceptance as an alternative to the conventional public key cryptosystem such as RSA [24], DSA [25], DH [26]. Also it is noted that the wireless sensor networks (WSN) based on the rapid progress of wireless communications and embedded micro electro mechanical systems technologies are becoming important part in our daily life. The security of the WSN becomes one of the major concerns in its applications. Even ECC prominently offers great potential benefits for WSN security there is still a lot of work needs to be done due to WSN has very restraint running conditions such as limited energy source, capability of computing, etc. 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 an optimized dynamic window based on our previous research works. The whole quality of service (QoS) has been improved under this algorism in particularly the power consuming is more efficiently. The simulation results showed that the average calculation time, due to fuzzy conditions decreased from previous 26 to current 9 as a whole the calculation time, decreased by approximately 18% in comparison to our previous algorithms in an ECC wireless sensor network [23].
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems (FUZZ), 2011
EditorsShyi Ming Chen
Place of PublicationTaiwan
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Print)9781424473151
Publication statusPublished - 2011
EventIEEE International Conference on Fuzzy Systems - Taipei, Taiwan, Province of China
Duration: 1 Jan 201130 Jun 2011


ConferenceIEEE International Conference on Fuzzy Systems
Abbreviated titleFUZZ-IEEE
Country/TerritoryTaiwan, Province of China


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