نتایج جستجو برای: chaotic tent map
تعداد نتایج: 218506 فیلتر نتایج به سال:
Transmission of images securely through a channel can be ensured using cryptography techniques. Encrypting an image with the help chaotic maps provides security and authentication. This paper presents encryption method which consists three main steps: Sub-image shuffling, bit-level permutation, diffusion. The sub-image shuffling step is performed logistic map to increase robustness proposed met...
In this paper, a different approach to create new chaotic model and an effective image encryption structure using Bit reversal permutation are proposed. Compared most frequently used well known maps, such as Logistic map, Sine map or Tent system based on with is designed key generator in the proposed algorithm. The has increased initial value sensitivity according results of Lyapunov analysis s...
In this paper we introduce two innovative image and video watermarking algorithms. The paper’s main emphasis is on the use of chaotic maps to boost the algorithms’ security and resistance against attacks. By encrypting the watermark information in a one dimensional chaotic map, we make the extraction of watermark for potential attackers very hard. In another approach, we select embedding po...
This paper aims to improve SHA-512 security without increasing complexity; therefore, we focused on hash functions depending DNA sequences and chaotic maps. After analysis of 45 various map types, only 5 types are selected in this proposal—namely, improved logistic, cosine logistic map, sine system, tent hybrid. Using features binary coding technology with complementary rules hide information i...
A Chaotic Optimization Algorithm (COA) based approach for the robust coordinated design of the UPFC power oscillation damping controller and the conventional power system stabilizer has been investigated in this paper. Chaotic Optimization Algorithms, which have the features of easy implementation, short execution time and robust mechanisms of escaping from local optimum, is a promising tool fo...
We present an improved Markov chain Monte Carlo (MCMC) algorithm for posterior computation in chaotic dynamical systems. Recent Bayesian approaches to estimate the parameters of chaotic maps have used the Gibbs sampler which exhibits slow convergence due to high posterior correlations. Using the extended Kalman filter to compute the likelihood function by integrating out all unknown system stat...
Discrete time chaos based true random number generators are lightweight cryptographic primitives that offer scalable performance for the emerging low power mobile applications. In this work, a novel design method for discrete time chaos based true random number generators is developed using skew tent map as a case study. Optimum parameter values yielding maximum randomness are calculated using ...
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