Construction of the Jordan basis for the Baker map

1997 ◽  
Vol 7 (2) ◽  
pp. 254-269 ◽  
Author(s):  
Ronald F. Fox
Keyword(s):  
Jordan Basis ◽  
Baker Map

scholarly journals HYBRID BAKER MAP WITH AES IN CIPHER BLOCK CHAINING MODE IN MEDICAL IMAGES

2017 ◽  
Vol 8 (4) ◽  
pp. 67-73
Author(s):  
Amudha K ◽  
Nelson Kennedy Babu C ◽  
Balu S
Keyword(s):  
Medical Images ◽  
Block Chaining ◽  
Baker Map

scholarly journals On the resonance eigenstates of an open quantum baker map

Nonlinearity ◽  
2008 ◽  
Vol 21 (11) ◽  
pp. 2591-2624 ◽  
Author(s):  
J P Keating ◽  
S Nonnenmacher ◽  
M Novaes ◽  
M Sieber
Keyword(s):  
Open Quantum ◽  
Baker Map

scholarly journals Breaking an encryption scheme based on chaotic baker map

2006 ◽  
Vol 352 (1-2) ◽  
pp. 78-82 ◽  
Author(s):  
Gonzalo Alvarez ◽  
Shujun Li
Keyword(s):  
Encryption Scheme ◽  
Chaotic Baker Map ◽  
Baker Map

The Jordan Basis and Special Subspaces

2014 ◽  
pp. 9-15
Author(s):  
Ćemal B. Dolićanin ◽  
Anatolij B. Antonevich
Keyword(s):  
Jordan Basis

An Image Encryption Scheme Using Chaotic Baker Map

2020 ◽  
Vol 17 (5) ◽  
pp. 2130-2135
Author(s):  
S. Saravanan ◽  
M. Sivabalakrishnan
Keyword(s):  
Image Encryption ◽  
Time Complexity ◽  
Maximum Deviation ◽  
Lanczos Algorithm ◽  
Eigenvalues And Eigenvectors ◽  
Random Generator ◽  
Chaotic Baker Map ◽  
Key Sensitivity ◽  
Encryption Method ◽  
Baker Map

In this paper, we propose a new image encryption method based on Chaos Baker map and Lanczos algorithm. Two levels of security are achieved to enhance the level of image security. In the first level, the Chaotic Baker map is a randomization technique used to make the pixels more shuffled. A pseudo-random generator is used with the second-level Lanczos algorithm which is applied to generate eigenvalues and eigenvectors. The proposed method resists various attacks: plaintext attacks, maximum deviation, correlation analysis and key sensitivity. Experimental results show that this method has better time complexity when protecting images.

scholarly journals Efficient Image Cipher Based on Baker Map in the Discrete Cosine Transform

2020 ◽  
Vol 20 (1) ◽  
pp. 68-81
Author(s):  
Hesham Alhumyani
Keyword(s):  
Discrete Cosine Transform ◽  
Experimental Tests ◽  
Differential Sensitivity ◽  
Cosine Transform ◽  
Chaotic Baker Map ◽  
Image Cipher ◽  
Plain Image ◽  
Dct Coefficients ◽  
Inverse Dct ◽  
Baker Map

AbstractThis paper presents an efficient image cipher based on applying the chaotic Baker Map (BM) in the Discrete Cosine Transform (DCT). The encryption module of the proposed DCT-based BM image cipher employs a DCT on the original plain-image then, the DCT coefficients of the plain-image are shuffled with the BM. Finally, the inverse DCT is applied to the shuffled plain-image DCT coefficients to obtain the final cipher-image. The decryption module of the proposed DCT-based BM image cipher employs a DCT on the input cipher-image then, the DCT coefficients of the cipher-image are inversely shuffled with the BM. Finally, the inverse DCT is applied to the inversely shuffled cipher-image DCT coefficients to obtain the original plain-image. A set of experimental tests are performed to test the validity of the proposed DCT-based BM image cipher and the performed tests demonstrated the superiority of the proposed DCT-based BM image cipher in terms of statistical, differential, sensitivity and noise immunity.

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