An encryption method based on computational ghost imaging with chaotic mapping and DNA encoding

Yang, Zhongzhuo; Yuan, Sheng; Li, Jinxi; Bai, Xing; Yu, Zhan; Zhou, Xin

doi:10.1088/2040-8986/ac6597

Cited by 7 publications

(5 citation statements)

References 24 publications

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“…The phase, intensity, and wavelength of light are used in optical data encryption [26][27][28]. Recently, a number of optical encryption strategies have been introduced, including GI encryption, chaotic encryption [29], and dual random phase encryption [30]. The first optical data encryption method based on CGI was introduced by Clemente et al [26].…”

Section: Introductionmentioning

confidence: 99%

Image security using steganography and cryptography with sweeping computational ghost imaging

Rajabi-Ghaleh,

Olyaeefar,

Kheradmand

et al. 2024

Front. Phys.

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A sweeping computational ghost imaging (SCGI)-based encryption system is intended for increased data security and speedier data transport. SCGI is combined with steganography and cryptography processes in this system. SCGI requires fewer shots, resulting in faster image capture, transmission, encryption, and decryption. This strategy also results in smaller, more compact data packages and higher bitrates. Least significant bit (LSB) uses steganography to conceal the hidden picture. In the case of Rivest–Shamir–Adleman (RSA) encryption, public and private keys are generated via a one-way function based on bucket values. Encryption is performed on two levels, with an asymmetric approach divided into three sub-items that significantly increase encryption. Surprisingly, the method uses fewer pictures for image reconstruction, resulting in faster image reconstruction. SCGI promises applications in an extensive number of data encryption sectors since this technology leads to smaller data packages and higher bitrates. The presented approach is examined using the number of pixel change rate (NPCR), normalized root mean square (NRMS), peak signal-to-noise ratio (PSNR), and correlation coefficient (CC), which indicates constant encryption improvement. We experimentally and situationally demonstrate our findings under eavesdropping, which prove the resistance and robustness of our methods. In optimal settings, this innovation enhances encryption by up to 90% when compared to traditional encryption methods.

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Section: Introductionmentioning

confidence: 99%

Image security using steganography and cryptography with sweeping computational ghost imaging

Rajabi-Ghaleh,

Olyaeefar,

Kheradmand

et al. 2024

Front. Phys.

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show abstract

“…In 2023, Yuan et al proposed a multi-user optical encryption scheme based on ghost imaging, in which a common ciphertext is disclosed to all users, this scheme not only reduces the transmission amount of key data, but also improves the quality of decrypted images 13 . With the continuous progress of society, the research of ghost imaging in the field of optical encryption is becoming more and more mature 14 , 15 .…”

Section: Introductionmentioning

confidence: 99%

Research on double camouflage encryption mechanism of QR code based on UAV landing scenario

Ye,

2023

Sci Rep

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Usually, the landing area of the drone is presented with QR code images, so it is crucial to ensure the information security of the landing area and prevent it from being occupied by other users. This paper proposes a double camouflage encryption method of QR code based on UAV landing scenario. For the QR code image required for UAV landing, the private key and carrier image are used to complete double camouflage encryption, and then the public key is modulated according to the principle of ghost imaging to obtain the ciphertext. After receiving the ciphertext, the receiver first decrypts the camouflage image according to the public key, and then decrypts the QR code image using the private key. The UAV receives ciphertext information through the detector, for non-users, the correct QR code image cannot be decrypted through the wrong key. Even if the eavesdropper obtains the public key information, they can only decrypt the camouflage image and cannot land. For our users, the public key and the double private key can decrypt the correct QR code image for landing. This encryption method can effectively decrypt the image at non-full sampling rate, while also resisting the external noise attack, and has high security.

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Section: Introductionmentioning

confidence: 99%

“…For example, the DNA encryption algorithm based on chaos [19][20][21]: Yang et al proposed CGI image encryption, which uses logistic chaotic to generate the keystream of the cryptosystem and combines with DNA encoding to obtain ciphertext images. This method reduces the number of key transmissions and has great advantages in image encryption with large amounts of data [19]. Quantum encryption algorithm based on chaos theory [22][23][24]: the keystream generated by the four-wing chaotic system is XORed with the plaintext to obtain a semiencrypted ciphertext image, and quantum rotation is used to complete the encryption operation in the diffusion stage.…”

Section: Introductionmentioning

confidence: 99%

A High-Security Privacy Image Encryption Algorithm Based on Chaos and Double Encryption Strategy

Cheng

Wang

Dai

et al. 2022

Journal of Applied Mathematics

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Faces are widely used in information recognition and other fields. Due to the openness of the Internet, ensuring that face information is not stolen by criminals is a hot issue. The traditional encryption method only encrypts the whole area of the image and ignores some features of the face. This paper proposes a double-encrypted face image encryption algorithm. The contour features of the face are extracted, followed by two rounds of encryption. The first round of encryption algorithm encrypts the identified face image, and the second round of encryption algorithm encrypts the entire image. The encryption algorithm used is scrambling and diffusion at the same time, and the keystream of the cryptosystem is generated by 2D SF-SIMM. The design structure of this cryptosystem increases security, and the attacker needs to crack two rounds of the algorithm to get the original face image.

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An encryption method based on computational ghost imaging with chaotic mapping and DNA encoding

Cited by 7 publications

References 24 publications

Image security using steganography and cryptography with sweeping computational ghost imaging

Image security using steganography and cryptography with sweeping computational ghost imaging

Research on double camouflage encryption mechanism of QR code based on UAV landing scenario

A High-Security Privacy Image Encryption Algorithm Based on Chaos and Double Encryption Strategy

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