Optical image encryption based on biometric keys and singular value decomposition

Shan, Tao; Tang, Chen; Shen, Yuxin; Lei, Zhenkun

doi:10.1364/ao.385652

Cited by 23 publications

(5 citation statements)

References 41 publications

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“…They are used with the lower-upper decomposition with partial pivoting to encrypt the medical image. In [33], the palmprint is used to generate a palmprint phase mask. The medical image is modulated by the palmprint phase mask, and then Fresnel transform and SVD operations are performed.…”

Section: Related Workmentioning

confidence: 99%

A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission

2023

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Secure transmission of medical images and medical data is essential in healthcare systems, both in telemedicine and AI approaches. The compromise of images and medical data could affect patient privacy and the accuracy of diagnosis. Digital watermarking embeds medical images into a non-significant image before transmission to ensure visual security. However, it is vulnerable to white-box attacks because the embedded medical image can be extracted by an attacker that knows the system’s operation and does not ensure the authenticity of image transmission. A visually secure image encryption scheme for secure fingerprint-based authenticated transmission has been proposed to solve the above issues. The proposed scheme embeds the encrypted medical image, the encrypted physician’s fingerprint, and the patient health record (EHR) into a non-significant image to ensure integrity, authenticity, and confidentiality during the medical image and medical data transmission. A chaotic encryption algorithm based on a permutation key has been used to encrypt the medical image and fingerprint feature vector. A hybrid asymmetric cryptography scheme based on Elliptic Curve Cryptography (ECC) and AES has been implemented to protect the permutation key. Simulations and comparative analysis show that the proposed scheme achieves higher visual security of the encrypted image and higher medical image reconstruction quality than other secure image encryption approaches.

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Section: Related Workmentioning

confidence: 99%

A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission

2023

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“…Step4: Convert the probability matrix P y,x to the integer sequence value of [0-17], and perform the Rubik's Cube reduction based on this. 4,5,9,10,11,15,16,17) (15)…”

Section: Decryption Algorithmmentioning

confidence: 99%

“…As one of the important carriers in the process of information transmission, digital images play a pivotal role in many fields, such as education, finance, medical treatment and so on. However, digital images are easily intercepted and tampered during transmission, which greatly threatens the privacy of image information [1][2][3][4] . In view of the security of digital images, many domestic and foreign researchers have brought forward various image encryption methods.…”

Section: Introductionmentioning

confidence: 99%

Color Image Encryption Scheme Based On Alternate Quantum Walk and Controlled Rubik’s Cube

Zhao

Zhang

Jiang

et al. 2022

Preprint

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Aiming at solving the trouble that digital image information is easily intercepted and tampered during transmission, we proposed a color image encryption scheme based on alternate quantum random walk and controlled Rubik’s Cube transformation. At the first, the color image is separated into three channels: channel R, channel G and channel B. Besides, a random sequence is generated by alternate quantum walk. Then the six faces of the Rubik’s Cube are decomposed and arranged in a specific order on a two-dimensional plane, and each pixel of the image is randomly mapped to the Rubik’s Cube. The whirling of the Rubik’s Cube is controlled by a random sequence to realize image scrambling and encryption. The scrambled image acquired by Rubik’s Cube whirling and the random sequence received by alternate quantum walk are bitwise-XORed to obtain a single-channel encrypted image. Finally the three-channel image is merged to acquire the final encrypted image. The decryption procedure is the reverse procedure of the encryption procedure. The key space of this scheme is theoretically infinite. After simulation experiments, the information entropy after encryption reaches 7.999, the NPCR is 99.5978%, and the UACI is 33.4317%. The encryption scheme with high robustness and security has a excellent encryption effect which is effective to resist statistical attacks, force attacks, and other differential attacks.

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“…This means that if the secret keys are lost or stolen, the security of the encryption scheme may be compromised. To address this issue, some researchers have introduced human biometrics into optical encryption schemes [43][44][45][46][47][48]. For example, Yan et al [43] proposed an optical image encryption scheme based on Dammam grating and fingerprint array keys.…”

Section: Introductionmentioning

confidence: 99%

Optical multi-image encryption based on chaotic fingerprint phase mask and multi-slice diffractive imaging

Wang,

Wu,

Fang

et al. 2024

J Opt

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To enhance the encryption efficiency and security of optical encryption systems, we propose a novel optical multi-image encryption scheme based on chaotic fingerprint phase mask (CFPM) and multi-slice diffractive imaging in this paper. During the encryption process, multiple original images are first arranged along the axial direction with a fixed interval between each image, forming a multi-slice object. Then, under the illumination of different speckle patterns, the multi-slice object is encrypted into a series of noise-like diffractive patterns using the CFPMs placed at different free-space propagation distances. The original images can be recovered by using the iterative phase retrieval algorithm and the correct decryption keys. In this scheme, the CFPMs are generated by the fingerprint and chaotic Henon map, which only used as interim variables. The fingerprint and chaotic parameters are used as secret keys directly, which makes the storage and management of the keys more convenient. Fingerprints possess uniqueness and a strong link with the user, which enhances the security of the encryption scheme. In addition, the illumination pattern and the free-space propagation distance provide additional security to the encryption scheme. Numerical simulation results indicate that the proposed scheme has high security and robustness.

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Optical image encryption based on biometric keys and singular value decomposition

Cited by 23 publications

References 41 publications

A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission

A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission

Color Image Encryption Scheme Based On Alternate Quantum Walk and Controlled Rubik’s Cube

Optical multi-image encryption based on chaotic fingerprint phase mask and multi-slice diffractive imaging

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