Improving diagnosis of some brain disease by analysing chaotic indices of EEG signals

Nazari, Sarah; Ataei, Mohammad; Tamizi, Ali

doi:10.1504/ijbet.2016.081222

Cited by 2 publications

(1 citation statement)

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“…Since Lorenz proposed the first two scrolls system in 1963 [1], chaotic systems have attracted attention of scientific community due to their vast applications in many areas such as physics, biology, complex networks, economics and so on [2]- [6]. Non-predictability, ergodicity, random-like behavior, and high sensitivity to initial conditions are the main characteristics of chaotic systems, which can be used in encryption and secure communication [7]- [20].…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Based on Improved Lorenz System

et al. 2020

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This paper proposes a new method to strengthen the nonlinear kinetic complexity and ergodicity of Lorenz system. Through the analysis of auto-correlation, frequency distribution, approximate entropy and information entropy, the improved Lorenz system has better dynamical properties than Lorenz system. According to NIST-800-22 test results, the chaotic sequences generated from proposed system have passed all random tests, which denotes that the improved Lorenz system is applicable to chaotic encryption. Once the plaintext image is color, the size of scramble image is three times as big as plaintext image, so that a lot more pixel information participant in permutation and diffusion to get better encryption results. Simulation results show that the image encryption scheme provides good security and high capacity to resist common attacks.

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