Vedat Çelik
Fırat University
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Publication
Featured researches published by Vedat Çelik.
Signal, Image and Video Processing | 2017
Fatih Özkaynak; Vedat Çelik; Ahmet Bedri Özer
Since substitution box (S-box) is the only nonlinear component related to confusion properties for many block encryption algorithms, it is a necessity for the strong block encryption algorithms. S-box is a vital component in cryptography due to having the effect on the security of entire system. Therefore, alternative S-box construction techniques have been proposed in many researches. In this study, a new S-box construction method based on fractional-order (FO) chaotic Chen system is presented. In order to achieve that goal, numerical results of the FO chaotic Chen system for
Archive | 2010
Vedat Çelik; Yakup Demir
Signal, Image and Video Processing | 2014
Vedat Çelik; Yakup Demir
a= 35, b=3, c=28
International Journal of Circuit Theory and Applications | 2017
Barış Karakaya; Vedat Çelik; Arif Gülten
Transactions of the Institute of Measurement and Control | 2017
Vedat Çelik; Mahmut Temel Özdemir; Gökay Bayrak
a=35,b=3,c=28 and
signal processing and communications applications conference | 2013
Taner Tuncer; Vedat Çelik
Tehnicki Vjesnik-technical Gazette | 2018
Hasan Guler; Vedat Çelik; Turgay Kaya; Yavuz Erol
\alpha =0.9
Nonlinear Dynamics | 2010
Vedat Çelik; Yakup Demir
IFAC-PapersOnLine | 2015
Mahmut Temel Özdemir; Dursun Öztürk; Ībrahim Eke; Vedat Çelik; Kwang Y. Lee
α=0.9 are obtained by employing the predictor–corrector scheme. Besides, a simpler algorithm is suggested for the construction of S-box via time response of the FO chaotic Chen system. The performance of suggested S-box design is compared with other S-box designs developed by chaotic systems, and it is observed that this method provides a stronger S-box design.
Fırat University Turkish Journal of Science & Technology | 2018
Barış Karakaya; Vedat Çelik; Arif Gülten
This paper deals with the fractional order model of the two-cell autonomous Delayed Cellular Neural Network which exhibits chaotic behavior. Numerical simulation results demonstrate that the chaos can be observed in fractional order Delayed Cellular Neural Network for fractional order q ≥ 0. 1. Also the τ delay time values for which the chaos occurs in q system order, is quantitatively defined using largest Lyapunov exponents.