A visually secure image encryption scheme using adaptive-thresholding sparsification compression sensing model and newly-designed memristive chaotic map

Zhu, Liya; Jiang, Donghua; Ni, Jiangqun; Wang, Xingyuan; Rong, Xianwei; Ahmad, Musheer

doi:10.1016/j.ins.2022.06.011

Cited by 33 publications

(5 citation statements)

References 40 publications

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“…is a measurement vector and M N. < Candes and Tao proved that the prerequisite for the signal to be accurately reconstructed is that the product of F and Y should satisfy the restricted isometry property (RIP) [23]. The commonly used measurement matrices include Bernoulli random matrix [15], partial Hadamard matrix [18] and structurally random matrix [24], etc Restoring x from y is the core of the CS theory, which is denoted as…”

Section: Cs and Ptp-csmentioning

confidence: 99%

“…As a basic circuit element with the unique memory, memristors has opened new research ideas for the fields of artificial intelligence [28], secure communication [24] and biological behavior simulation [29]. In this background, to demonstrate the threshold effect of electromagnetic induction, Bao et al [29] proposed a simple threshold flux-controlled memristor, which is defined as…”

Section: Memristormentioning

confidence: 99%

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A visually meaningful image encryption algorithm based on P-tensor product compressive sensing and newly-designed 2D memristive chaotic map

Yang,

Cheng,

Jiang

et al. 2023

Phys. Scr.

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The noise-like visual feature of cipher images produced by using the traditional image encryption technology explicitly reflects the presence of secret information. To overcome this issue, a visually meaningful image encryption algorithm is proposed based on a newly designed 2D memristive chaotic map, P-tensor product compressive sensing (PTP-CS) and discrete Hartley transform (DHT). For concreteness, a new two-dimensional discrete memristive chaotic map is first designed to provide highly unpredictable secret code streams while maintaining low time consumption. Second, the threshold processing and zigzag confusion operations are performed on the discrete wavelet coefficients of the plain image to meet the prerequisites for effective compression. Third, the intermediate secret information is obtained by utilizing PTP-CS in the compression layer. Information entropy and edge entropy are employed to adaptively identify the complex regions that are suitable for embedding due to inconspicuous visual degradation in the carrier image. Finally, the embedding of the secret information in the DHT domain of these regions is accomplished. Security test and performance analysis confirm that our algorithm has the advantage of a high balance between the encryption security and the decryption recovery, and exhibits excellent performance in important indicators such as visual quality, robustness and timeliness.

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Section: Cs and Ptp-csmentioning

confidence: 99%

Section: Memristormentioning

confidence: 99%

A visually meaningful image encryption algorithm based on P-tensor product compressive sensing and newly-designed 2D memristive chaotic map

Yang,

Cheng,

Jiang

et al. 2023

Phys. Scr.

View full text Add to dashboard Cite

show abstract

“…In addition, DM chaotic maps are hardware implemented by applying DSP platform [35][36][37] and an analog circuit [38]. One important application is that DM chaotic maps are used in image encryption algorithms [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

An adaptive energy regulation in a memristive map linearized from a circuit with two memristive channels

Yang,

Zhou,

2024

Commun. Theor. Phys.

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The nonlinear circuits can show multistability when magnetic flux-dependent memristor (MFDM) or charge-sensitive memristor (CSM) is incorporated into one branch circuit, which is helpful for estimating magnetic or electric field effects. In this paper, two different kinds of memristors are incorporated into two branch circuits composed of a capacitor and a nonlinear resistor, thus a memristive circuit with double memristive channels is designed. The circuit equations are presented, and the dynamics in this oscillator with two memristive terms are discussed. Then the memristive oscillator is converted into a memristive map by applying linear transformation on the sampled time series for memristive oscillator. The Hamilton energy function for the memristive oscillator is obtained by using the Helmholtz theorem, and it can be mapped from the field energy of the memristive circuit. An energy function for the dual memristive map is suggested by imposing suitable weights on the discrete energy function. The dynamical behaviors of the new memristive map are investigated, and an adaptive law is proposed to regulate the firing mode in the memristive map. This work will provide theoretical basis and experimental guidance for oscillator-to-map transformation and discrete map energy calculation.

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“…To be more specific, Hua et al [15] proposed an adaptive threshold sparsity-based visually secure image encryption algorithm, which uses a matrix coding strategy to achieve lossless embedding and extraction of information. Later, Zhu et al [16] newly designed a memristive chaotic map and proposed an adaptive threshold sparsification model for visually secure image encryption. In Zhu's scheme, the Lp matrix parametrization is used to establish the threshold model, thus enhancing the compression performance.…”

Section: Introductionmentioning

confidence: 99%

Novel data encryption scheme and its application to secure multi-party communication

Wu,

Long,

Wang

et al. 2024

Phys. Scr.

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Recent advances in cellular mobile telecommunication field have dramatically facilitated the multi-party collaborative work in social networks. However, the privacy issues exposed by insecure network channels and semi-trusted service providers, such as underlying data analysis and mining, have also gradually aroused public concerns. In this context, a novel Multi-Party Privacy Data Encryption (MP-PDE) scheme built upon the deep learning framework is proposed. In this scheme, a four-dimensional autonomous chaotic system is initially leveraged to configurate the key-controlled cipher streams. Under the guidance of a multi-objective optimization function, the proposed encryption network manipulates the multi party private data into a cipher image with the statistical pseudo-randomness. At the recipient side, distinct participants can decrypt the matching data availing their own licensing key from the identical cipher image. Furthermore, the encryption and decryption networks are equivalent except for their network parameters. Finally, numerous experiments are conducted to verify the effectiveness and security of the proposed scheme.

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A visually secure image encryption scheme using adaptive-thresholding sparsification compression sensing model and newly-designed memristive chaotic map

Cited by 33 publications

References 40 publications

A visually meaningful image encryption algorithm based on P-tensor product compressive sensing and newly-designed 2D memristive chaotic map

A visually meaningful image encryption algorithm based on P-tensor product compressive sensing and newly-designed 2D memristive chaotic map

An adaptive energy regulation in a memristive map linearized from a circuit with two memristive channels

Novel data encryption scheme and its application to secure multi-party communication

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