Cyclic shift-based MQIR image encryption scheme

Chen, Zigang; Yan, Yi; Pan, Ji; Zhu, Haihua

doi:10.1007/s11128-022-03510-z

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…Based on the cyclic shift notion, a multimode quantum image is operated by scrabbling the colour and position pixel information not for just the original picture but also on the copied image. The simulation results in IBM simulator and classical system in [24] demonstrate the effectiveness of the suggested quantum picture encryption method. To resolve the popular unpredictable polynomial-time complete issue known as the subset sum, an effective algorithm with fewer qubits is proposed in [25] which obtains quadratic acceleration and experimented with in two IBM Q online simulators (ibmq_bogota and ibmq_santigo).…”

Section: Previous Workmentioning

confidence: 72%

Secure nano-communication framework using RSCV cryptographic circuit in IBM Q

Kundu,

Das,

Debnath

et al. 2023

Phys. Scr.

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In the cryptographic domain, quantum and its real-time hardware simulation make it easier to secure data during communication. Here, using quantum logic, a unique encryption technique called Reversible select, cross, and variation (RSCV) encryption and decryption, which involves swapping input data halves, is shown. In this article using IBM Q, we created a cryptographic encoder and decoder circuit design utilizing various quantum gates. Based on the encoder/decoder circuit, a simple nanocommunication framework is proposed. Further, to explore the application of the noise model, how to utilize this model to create noisy replicas of these quantum circuits to research the impacts of noise that occur for actual device output is shown. To reduce measurement mistakes, measurement calibration is performed using qiskit ignis model. Preparing all 2n basis input states and calculating the likelihood of counting in the other basis states are the key concepts. The percentage improvement we achieved is 40%, 30%, and 30%, respectively, compared to earlier ones, in RSCV encryption, decryption, and RSCV cryptographic communication architecture for fake provider noise error model. It is feasible to adjust the average outcomes of an additional interesting experiment using these calibrations.

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Section: Previous Workmentioning

confidence: 72%

Secure nano-communication framework using RSCV cryptographic circuit in IBM Q

Kundu,

Das,

Debnath

et al. 2023

Phys. Scr.

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“…Based on the introduced representation models, many quantum image encryption algorithms have been proposed. [20][21][22][23][24] They can be broadly classified into two categories, i.e., spatial domain and frequency domain. Spatial domain techniques operate directly on the pixels of the image.…”

Section: Introductionmentioning

confidence: 99%

Double quantum images encryption scheme based on chaotic system

Jiang 蒋,

Li 李,

Shi 石

et al. 2024

Chinese Phys. B

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This paper explores a double quantum images representation (DNEQR) model that allows for simultaneous storage of two digital images in a quantum superposition state. Additionally, a new type of two-dimensional hyperchaotic system based on Sine and Logistic maps is investigated, offering a wider parameter space and better chaotic behavior compared to the Sine and Logistic maps. Based on the DNEQR model and the hyperchaotic system, a double quantum images encryption algorithm is proposed. Firstly, two classical plaintext images are transformed into quantum states using the DNEQR model. Then, the proposed hyperchaotic system is employed to iteratively generate pseudo-random sequences. These chaotic sequences are utilized to perform pixel value and position operations on the quantum image, resulting in changes to both pixel values and positions. Finally, the ciphertext image can be obtained by qubit-level diffusion using two XOR operations between the position permutated image and the pseudo-random sequences. The corresponding quantum circuits are also given. Experimental results demonstrate that the proposed scheme ensures the security of the images during transmission, improves the encryption efficiency, and enhances anti-interference and anti-attack capabilities.

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