A4 Refereed article in a conference publication
SEECC: A Secure and Efficient Elliptic Curve Cryptosystem for E-health Applications
Authors: Sahebi G, Majd A, Ebrahimi M, Plosila J, Karimpour J, Tenhunen H
Editors: Smari, WW
Conference name: International Conference on High Performance Computing & Simulation
Publishing place: NEW YORK, NY
Publication year: 2016
Book title : 2016 International Conference on High Performance Computing & Simulation (HPCS)
Journal name in source: 2016 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS 2016)
First page : 492
Last page: 500
Number of pages: 9
ISBN: 978-1-5090-2089-8
eISBN: 978-1-5090-2088-1
DOI: https://doi.org/10.1109/HPCSim.2016.7568375
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 front all the available elliptic curves. This method enhances the security and efficiency of elliptic curve cryptosystems by using a parallel genetic algorithm.
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