Optical Image Encryption Algorithm Based on Chaotic Tinker Bell Map with Random Phase Masks in Fourier Domain

Sachin, .; Archana, .; Singh, Phool

doi:10.1007/978-981-15-7561-7_20

Cited by 11 publications

(2 citation statements)

References 31 publications

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“…A number of statistical measures, including histograms, mesh plots, information entropy, MSE and CC are used to test the robustness of the proposed multiuser image encryption and authentication algorithm [48,49]. Information entropy is a statistical measure that evaluates the randomness of the stored information in an event.…”

Section: Discussionmentioning

confidence: 99%

Multiuser optical image authentication platform based on sparse constraint and polar decomposition in Fresnel domain

Sachin¹,

Kumar²,

Singh³

2022

Phys. Scr.

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In this paper, a new multiuser optical image encryption and authentication technique is proposed. Sparse multiplexing and polar decomposition are used in the Fresnel domain to obtain the ciphertext of an input image. To enable the multiuser platform, multiple private keys are obtained through polar decomposition during the encryption process. It will allow multiple authorized users to access the secure information simultaneously without having the key distribution problem among them. The proposed method has a large key space and robust against several attacks, such as, contamination attacks (noise and occlusion), brute force attack, plaintext attacks, and special iterative attack. A comparative analysis of the presented technique is also performed with the similar existing techniques. The numerical simulation results demonstrate the robustness and feasibility of the proposed algorithm.

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Section: Discussionmentioning

confidence: 99%

Multiuser optical image authentication platform based on sparse constraint and polar decomposition in Fresnel domain

Sachin¹,

Kumar²,

Singh³

2022

Phys. Scr.

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“…As we have discussed in the previous sections, in symmetric cryptosystems, encryption and decryption keys are the same and do not depend on the plaintext [16,[18][19][20][21][22]. An illustration of this can be seen in the flowchart given in Figure 5.…”

Section: Symmetric Cryptosystemsmentioning

confidence: 93%

Advances in Optical Visual Information Security: A Comprehensive Review

Sachin,

Kumar,

Sakshi

et al. 2024

Photonics

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In the modern era, the secure transmission and storage of information are among the utmost priorities. Optical security protocols have demonstrated significant advantages over digital counterparts, i.e., a high speed, a complex degree of freedom, physical parameters as keys (i.e., phase, wavelength, polarization, quantum properties of photons, multiplexing, etc.) and multi-dimension processing capabilities. This paper provides a comprehensive overview of optical cryptosystems developed over the years. We have also analyzed the trend in the growth of optical image encryption methods since their inception in 1995 based on the data collected from various literature libraries such as Google Scholar, IEEE Library and Science Direct Database. The security algorithms developed in the literature are focused on two major aspects, i.e., symmetric and asymmetric cryptosystems. A summary of state-of-the-art works is described based on these two aspects. Current challenges and future perspectives of the field are also discussed.

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Asymmetric Cryptosystem for Color Images Based on Unequal Modulus Decomposition in Chirp-Z Domain

Sachin

Singh

Kumar

et al. 2022

Advances in Intelligent Systems and Computing

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Optical Image Encryption Algorithm Based on Chaotic Tinker Bell Map with Random Phase Masks in Fourier Domain

Cited by 11 publications

References 31 publications

Multiuser optical image authentication platform based on sparse constraint and polar decomposition in Fresnel domain

Multiuser optical image authentication platform based on sparse constraint and polar decomposition in Fresnel domain

Advances in Optical Visual Information Security: A Comprehensive Review

Asymmetric Cryptosystem for Color Images Based on Unequal Modulus Decomposition in Chirp-Z Domain

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