Image encryption using q-deformed logistic map

Muñoz-Guillermo, María

doi:10.1016/j.ins.2020.11.045

Cited by 38 publications

(18 citation statements)

References 38 publications

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“…Maria [29] introduced a scheme for image encipherment based on a q-deformed chaotic logistic map, which maximizes key spaces despite low dimensions. Ibrahim et al [30] designed an efficient scheme by combining a chaotic system and the S-box to resist PRING reset attacks.…”

Section: Related Workmentioning

confidence: 99%

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A Novel Medical Image Encryption Using R鰏sler System

Krishnan¹,

Suhaila²,

Raja³

2022

Intelligent Automation &Amp; Soft Computing

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The technological advances made possible by the Internet, coupled with the unforeseen critical circumstances set in motion by the Covid-19 pandemic, have greatly increased the generation and transmission of medical images every day. Medical image transmission over an unsecured public network threatens the privacy of sensitive patient information. We have, in this paper, designed a new secure color medical image encryption algorithm based on binary plane decomposition, DNA (deoxyribonucleic acid) computing, and the chaotic Rössler dynamical system. At first, a bit-by-bit swap is performed on twenty four binary planes of the input image and encoded using DNA encoding rules. Thereafter, the Rössler system is used to modify the pixel values of the encoded image, which is subsequently decoded. Finally, the ciphered image is obtained by pixel-by-pixel permutation using position sequences. An innovative approach is used to compute keys from the color components of the input image. Extensive performance experiments of the proposed technique is conducted with metrics such as key sensitivity, key space, correlation coefficients (horizontal, diagonal and vertical directions), histograms, information entropy, number of pixel changes rate (NPCR), information entropy, unified average changing intensity (UACI), and encryption time. Comparative analyses have demonstrated that the proposed algorithm is fast, robust and competitive.

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Section: Related Workmentioning

confidence: 99%

“…Components that take up the most time in the proposed algorithm include DNA encoding, decoding and chaotic sequence generation. 0.9055 [19] 0.9149 [29] 0.8711 [33] 1.0264 [42] 0.9021…”

Section: Encryption Speedmentioning

confidence: 99%

A Novel Medical Image Encryption Using R鰏sler System

Krishnan¹,

Suhaila²,

Raja³

2022

Intelligent Automation &Amp; Soft Computing

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“…Muoz-Guillermo et al [27] proposed an image encryption algorithm based on the deformation of the logistic map. Using a chaotic q-deformed logistic map cannot only expand the key space, but can also be used to avoid the parameter area of the key selection in the nonchaotic area.…”

Section: Chaotic Encryption Technologymentioning

confidence: 99%

Template Protection Based on Chaotic Map for Finger Vein Recognition

Shao

Ren

Sun

et al. 2021

IEEJ Transactions Elec Engng

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While the widespread application of biometric identification technology has provided convenient services, the security, and privacy of personal data have also attracted increasing attention. Because biometric traits are unique, once an attack occurs, the information stored in the system will be permanently leaked. Thus, ensuring the security of biometric templates is a major challenge. In order to solve this problem, we propose a finger vein template protection method based on chaotic map. First, we randomize and scramble the finger vein features after feature extraction, disturbing the location distribution of the pixels. Second, on the basis of the chaotic features of the finger veins, binary quantization is applied to further ensure the safety of the template. Finally, the compact and safe finger vein template is directly stored in the database. Finger vein matching is realized in the encryption domain, which changes the way that the traditional finger vein recognition system directly stores biometric templates. We conducted a series of detailed experiments on the public dataset. The experimental results show that our method can ensure the safety of finger vein templates while maintaining stable recognition performance. Moreover, the method has universality for different feature-extraction methods and meets the requirements of good biometric template protection.

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“…Encryption is an effective means commonly used to keep information confidential. However, traditional text encryption standards such as the data encryption standard (DES), advanced encryption standard (AES) and Rivest-Shamir-Adleman (RSA) algorithm cannot efficiently encrypt the images with huge data volumes, high temporal redundancy, and spatial redundancy [1]. The high sensitivity to initial values and the uncertain behavior of chaotic systems renders them more suitable for image encryption [2].…”

Section: Introduction 1research Backgroundmentioning

confidence: 99%

“…Such a method not only disrupts the position of the pixels, but also changes the statistical characteristic of the plaintext image [3]. Inspired by Fridrich's research, many encryption algorithms using similar encryption frameworks have been proposed in recent years [1,.…”

Section: Introduction 1research Backgroundmentioning

confidence: 99%

A Novel and Fast Encryption System Based on Improved Josephus Scrambling and Chaotic Mapping

Guan

Huang

et al. 2022

Entropy

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To address the shortcomings of weak confusion and high time complexity of the existing permutation algorithms, including the traditional Josephus ring permutation (TJRP), an improved Josephus ring-based permutation (IJRBP) algorithm is developed. The proposed IJRBP replaces the remove operation used in TJRP with the position exchange operation and employs random permutation steps instead of fixed steps, which can offer a better scrambling effect and a higher permutation efficiency, compared with various scrambling methods. Then, a new encryption algorithm based on the IJRBP and chaotic system is developed. In our scheme, the plaintext feature parameter, which is related to the plaintext and a random sequence generated by a chaotic system, is used as the shift step of the circular shift operation to generate the diffusion matrix, which means that a minor change in the source image will generate a totally different encrypted image. Such a strategy strikes a balance between plaintext sensitivity and ciphertext sensitivity to obtain the ability to resist chosen-plaintext attacks (CPAs) and the high robustness of resisting noise attacks and data loss. Simulation results demonstrate that the proposed image cryptosystem has the advantages of great encryption efficiency and the ability to resist various common attacks.

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Image encryption using q-deformed logistic map

Cited by 38 publications

References 38 publications

A Novel Medical Image Encryption Using R鰏sler System

A Novel Medical Image Encryption Using R鰏sler System

Template Protection Based on Chaotic Map for Finger Vein Recognition

A Novel and Fast Encryption System Based on Improved Josephus Scrambling and Chaotic Mapping

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