K
Ke Yuan
Researcher at Henan University
Publications - 6
Citations - 285
Ke Yuan is an academic researcher from Henan University. The author has contributed to research in topics: Encryption & Chaotic. The author has an hindex of 3, co-authored 5 publications receiving 173 citations.
Papers
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A novel image encryption scheme based on DNA sequence operations and chaotic systems
TL;DR: Experimental results and security analyses demonstrate that the proposed scheme not only has good encryption effect, but also is secure enough to resist against the known attacks.
Journal ArticleDOI
An image encryption scheme based on three-dimensional Brownian motion and chaotic system
Journal ArticleDOI
A novel image encryption algorithm based on LFT based S-boxes and chaos
TL;DR: A novel and efficient image encryption algorithm based on the chaotic system and S-boxes is introduced in this paper, in which an original S-box is produced by linear fractional transformation on Galois field of order 256, and then a set of S- boxes are obtained by performing zigzag confusion on the originalS-box.
Patent
Color image encryption method based on Latin square scrambling
TL;DR: In this paper, a color image encryption method based on Latin square scrambling was proposed, in which plaintext keys r1, g1 and b1 are calculated through utilization of R, G and B components of a color plaintext image, an initial value and a parameter obtained through calculation based on the keys are substituted into a chaotic system, and three groups of chaotic sequences are generated; the chaotic sequences for scrambling and diffusion are selected through utilizing of a chaotic sequence selection mechanism based on a plaintext and digital arrangement; and a final ciphertext image is obtained through adoption of a
Patent
Image encryption method based on 3D orthogonal Latin square and chaotic system
Gan Zhihua,Chai Xiuli,Zhang Jitong,Jia Peiyan,Ke Yuan,Zhang Miaohui,Zhi Xiangcheng,Bi Jianqiang +7 more
TL;DR: In this paper, the authors proposed an image encryption method based on a 3D orthogonal Latin square and a chaotic system, which is highly sensitive to plaintext images and can effectively resist known plaintext and selected plaintext attacks.