Exploiting compressed sensing and polynomial-based progressive secret image sharing for visually secure image selection encryption with authentication

Gan, Zhihua; Song, Shiping; Zhou, Lin; Han, Daojun; Fu, Jiangyu; Chai, Xiuli

doi:10.1016/j.jksuci.2022.09.006

Cited by 10 publications

(4 citation statements)

References 54 publications

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“…Additionally, the proposed scheme encryption and decryption effects are quantitatively analyzed, by evaluating the image quality using peak signal-to-noise ratio (PSNR), mean structural similarity (MSSIM ) and normalized coefficient (NC). The calculation formulas are given in equations ( 21), ( 22) and (23) [29], the quantitative results are listed in table 2. From table 2, the PSNR cip are more than 45 dB, and the MSSIM , cip NC cip are also close to the ideal value, meaning that the image sensitive message is effectively protected, where the symbol 'cip' indicates a cipher image.…”

Section: Encryption and Decryption Resultsmentioning

confidence: 99%

Visually secure traffic image encryption scheme using new two-dimensional Sigmoid-type memristive chaotic map and Laguerre transform embedding

Wang,

Xu,

Long

et al. 2024

Phys. Scr.

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In intelligent transportation system, unprotected bare data transmission faces serious security threats and challenges. To this end, this paper proposes a visually secure traffic image encryption algorithm that combines a newly designed two-dimensional Sigmoid-type memristive chaotic map (2D-SMCM) with two-dimensional compressive sensing (2D-CS) and Laguerre transform (LT) embedding to provide services for secure transmission of private images. Specifically, first, the 2D-SMCM is used to generate pseudo-random sequences for subsequent compression, encryption and hiding operations. Second, the 2D-CS is utilized to compress the plain image to reduce the amount of data transmission. Then, encryption is completed by modifying the data values and their positions through index permutation and bidirectional diffusion. Finally, the encrypted data is embedded in the LT-processed public carrier medium for covert transmission. Experiments and performance analysis illustrate that the proposed scheme has good security, imperceptibility and reconstruction performance, with the average PSNRs of the cipher images and decrypted secret images up to 45.90 dB and 34.85 dB, respectively, using 500 grayscale images from the database BOWS2.

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Section: Encryption and Decryption Resultsmentioning

confidence: 99%

Visually secure traffic image encryption scheme using new two-dimensional Sigmoid-type memristive chaotic map and Laguerre transform embedding

Wang,

Xu,

Long

et al. 2024

Phys. Scr.

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“…The main characteristic of fractional-order Lü systems is that they capture non-local and memory behaviors which cannot be explained by the classical models. Let (a, b, c) = (36,3,20), (x 0 , y 0 , z 0 ) = (0.2, 0.5, 0.3) and (q 1 , q 2 , q 3 ) = (0.985, 0.99, 0.98), its chaotic plot is shown in Figure 1, which shows its complex behavior. Moreover, Figure 2 gives the C 0 and SE complexity analyses for the fractional order Lü system, which further demonstrates its capability to generate complex phenomena that have potential applications in the designing of image encryption scheme.…”

Section: Fractional Order Lü Systemmentioning

confidence: 99%

“…These include methods such as the symmetric key method [1], the public-key method [2,3], the DNA coding method [4]. However, these methods may not be sufficient to deal with the sophisticated attacks of modern attackers.…”

Section: Introductionmentioning

confidence: 99%

A novel adaptive image privacy protection method based on Latin square

Chen,

Huang,

Tang

et al. 2024

Nonlinear Dyn

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“…Therefore, researchers have proposed selective encryption algorithms 6 – 10 Selective encryption offers two primary advantages over the complete encryption algorithm. First, it enables fast encryption and decryption since only a portion of the data needs to undergo encryption, thus showing considerable superiority in networks that deal with massive amounts of image data in real-time communication.…”

Section: Introductionmentioning

confidence: 99%

Visual security index of selective encrypted images based on multi-directional structure and content-aware features

et al. 2023

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Selective encryption algorithms have emerged as a popular technique for protecting the privacy of images during real-time transmission. For selectively encrypted images, it is necessary to evaluate their security and usability with visual security indices, and there have been a series of studies in this area. However, those proposed visual security indices (VSI) are often ineffective. We present a multidirectional structure and content-aware features-based visual security index (MCVSI) to perform an objective assessment on selectively encrypted images. Considering that selectively encrypted images prevent the main contents from being easily identified, stable local features in the images are extracted to indicate the degree of image content leakage. Meanwhile, we extract spatial structure information that closely aligns with human visual perception to indicate the level of variation in the overall image skeleton. Next, these features are subjected to similarity measurements to produce two types of similarity, content perception feature similarity and structure feature similarity. Finally, our visual security index is built by connecting all feature similarities and their corresponding visual security scores using the regression module. The experimental results and analyses indicate that the proposed MCVSI outperforms many existing mainstream VSI in terms of higher performance and stronger robustness, particularly on low and medium quality images.

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Exploiting compressed sensing and polynomial-based progressive secret image sharing for visually secure image selection encryption with authentication

Cited by 10 publications

References 54 publications

Visually secure traffic image encryption scheme using new two-dimensional Sigmoid-type memristive chaotic map and Laguerre transform embedding

Visually secure traffic image encryption scheme using new two-dimensional Sigmoid-type memristive chaotic map and Laguerre transform embedding

A novel adaptive image privacy protection method based on Latin square

Visual security index of selective encrypted images based on multi-directional structure and content-aware features

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