SEECC: A Secure and Efficient Elliptic Curve Cryptosystem for E-health Applications

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Publication Details

List of Authors: Golnaz Sahebi, Amin Majd, Masoumeh Ebrahimi, Juha Plosila, Jaber Karimpour, Hannu Tenhunen
Place: Innsbruck, Austria
Publication year: 2016
Publisher: IEEE
Book title: 2016 International Conference on High Performance Computing & Simulation (HPCS)
eISBN: 978-1-5090-2088-1


Abstract

Security is an essential factor in wireless sensor networks especially for E-health applications. One of the common mechanisms to satisfy the security requirements is cryptography. Among the cryptographic methods, elliptic curve cryptography is well-known, as by having a small key length it provides the same security level in comparison with the other public key cryptosystems. The small key sizes make ECC very interesting for devices with limited processing power or memory such as wearable devices for E-health applications. It is vitally important that elliptic curves are protected against all kinds of attacks concerning the security of elliptic curve cryptography. Selection of a secure elliptic curve is a mathematically difficult problem. In this paper, an efficient elliptic curve selection framework, called SEECC, is proposed to select a secure and efficient curve from all the available elliptic curves. This method enhances the security and efficiency of elliptic curve cryptosystems by using a parallel genetic algorithm.


Last updated on 2019-13-12 at 04:39