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Fuzzy Genetic Elliptic Curve Diffie Hellman Algorithm for Secured Communication in Networks

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Abstract

More computations have to be done through less powerful mobile devices which includes ultra modern wearables. The huge overhead lies in the processing of the humongous key space each and computation of the intelligible message. The uniqueness of the elliptic curve cryptography (ECC) lies in the processing of data using shorter keys which are capable to achieve the performance of long key requirement of RSA. In order to reduce the overhead involved in the computation of less powerful mobile devices the fuzzy genetic elliptic curve Diffie Hellman is proposed in this paper. The intelligent rules are used for ranking during key selection process, multi attribute decision making model with fuzzy reasoning for obtaining keys and genetic algorithms for effective optimization of computation in ECC contributes to obtain the proposed FGECDH algorithm.

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Authors and Affiliations

  1. Anna University, Chennai, Tamilnadu, India

    Priya Sethuraman

  2. Department of Information Technology, Jerusalem College of Engineering, Chennai, Tamilnadu, India

    P. S. Tamizharasan

  3. Department of IST, Anna University, Chennai, Tamilnadu, India

    Kannan Arputharaj

Authors
  1. Priya Sethuraman
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  2. P. S. Tamizharasan
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  3. Kannan Arputharaj
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Correspondence to Priya Sethuraman.

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Sethuraman, P., Tamizharasan, P.S. & Arputharaj, K. Fuzzy Genetic Elliptic Curve Diffie Hellman Algorithm for Secured Communication in Networks. Wireless Pers Commun 105, 993–1007 (2019). https://doi.org/10.1007/s11277-019-06132-4

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