MATLAB Cryptography Functions

Mihăilescu, Marius Iulian; Nita, Stefania Loredana

doi:10.1007/978-1-4842-7334-0_2

Cited by 1 publication

(2 citation statements)

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“…To examine the correlation coefficient of the proposed method in this study, 15000 pairs of neighboring pixels are randomly chosen from the original and ciphered images in the vertical, diagonal, and horizontal directions. The correlation coefficient (corr) values are computed for each direction employing the following equation [36] ( (…”

Section: Correlation Analysismentioning

confidence: 99%

“…Firstly, we have analyzed the differential attack performance of the encryption scheme using NPCR (the number of pixels change rate) and UACI (unified average changing intensity). The NPCR and UACI calculated by using the equations provided in [36]. A computer simulation of the proposed cryptosystem shows that the NPCR value is 99.73% and the UACI value 30.18% .…”

Section: Attack Analysismentioning

confidence: 99%

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Security augmenting of optical cryptosystem based on linear canonical transform domain using a full phase encoding technique

Mohammed,

Qasim

2024

Phys. Scr.

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For the purpose of alleviating the vulnerability of double random phase encryption system in the linear canonical transform domain, a novel approach for optical security and cryptographic systems is presented. This proposed system uses a fully phase encoding technique to augment the security of encryption system in the linear canonical transform. The first step in this system involves phase encoding of the initial amplitude image to be ciphered and then modulated by the phase masks. The decryption process of image is the reversal operation of the encryption method. The effectiveness and sensitivity of our proposed cryptosystem for the encryption secret keys are verified. The resistance of our method against occlusion attacks is investigated. Moreover, the results demonstrate that the fully phase-based optical cryptosystem is more secure and robust than the amplitude-based scheme in a linear canonical domain.

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Section: Correlation Analysismentioning

confidence: 99%

Section: Attack Analysismentioning

confidence: 99%