A new efficient permutation-diffusion encryption algorithm based on a chaotic map

Bezerra, João Inácio Moreira; Camargo, Vinícius V. A.; Molter, Alexandre

doi:10.1016/j.chaos.2021.111235

Cited by 21 publications

(15 citation statements)

References 73 publications

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“…This metric has no specific threshold, but lower values indicate lower sensibility of the ciphered image's histogram uniformity that to small changes either in the original image or in the secret key. The metrics presented in Table 2 are consistent with [7], meaning that the encrypted image still maintains an uniform histogram when the original image or the secret key are modified.…”

Section: Statistical Attackssupporting

confidence: 58%

“…In Table 7, the PSNR values are given for the recovered images, and those are consistent with other works, validating the fact that the proposed algorithm resists noise and occlusion attacks. These values represent a small increase compared to [7] because the ECB operation mode is not used, and hence the effects of noise are not propagated as much during the recovered image.…”

Section: Noise and Occlusion Attacksmentioning

confidence: 99%

“…The Advanced Encryption Standard (AES) is the standard symmetric cipher, and it is optimized for text encryption [20]. In the context of image encryption, there are drawbacks considering features of images such as redundancy, similarity of adjacent pixels, along with large file sizes [7,41]. Digital images are estimated to represent around 70% of the files exchanged over the Internet [6], meaning that new techniques are being researched, and one of these techniques is the coupling of chaos theory and cryptography [9,12,18,22,23,29,32,33,36,38,42,45,48].…”

Section: Introductionmentioning

confidence: 99%

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A novel single kernel parallel image encryption scheme based on a chaotic map

Bezerra,

Camargo,

Soares

et al. 2024

Preprint

Self Cite

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The development of communication technologies has increased concerns about data security, increasing the prominence of cryptography. Images are one of the most widely shared data, and chaotic ciphers arouse significant interest from researchers, as traditional ciphers are optimized for text encryption. Chaotic encryption schemes perform well for low-quality images, however, they are not fast enough for real-time encryption of Full Ultra HD images. Hence, a novel cipher to be executed in GPU architectures is proposed, where the encryption procedure consists of a single kernel, making it different from previous chaotic works and also from the AES. This enables our work to achieve a throughput of 130.8 GB/s on a GeForce RTX3070 and 251.6 GB/s on a Tesla V100 GPU, an increase of 37\% compared to the AES, and 43 times higher than the previously high for chaotic ciphers. The cipher's security is also verified regarding multiple forms of attacks.

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Section: Statistical Attackssupporting

confidence: 58%

Section: Noise and Occlusion Attacksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel single kernel parallel image encryption scheme based on a chaotic map

Bezerra,

Camargo,

Soares

et al. 2024

Preprint

Self Cite

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“…where h(x s ) is the probability that s occurs within the image p, N then denotes the gray level of the image p. For this test, multiple kinds of images are selected to calculate their Inf values, and the results are presented in Table 5. The table shows that after the encryption algorithm, all the [29] 0.0095 0.0044 0.0076 Yadollahi [30] 0.0208 0.0137 0.0146 Zhou [31] -0.0057 -0.0121 0.0029 Lai [32] 0.0015 0.0048 0.0016 Bazerra [33] -0.0018 0.0025 -0.0015 Zheng [34] -0.0027 0.0023 0.0088 Hussain [35] 0.0002 -0.0014 -0.0018 Su [36] 0.0019 0.0021 0.0029 Wang [37] 0.0005 0.0051 -0.0034 Pak [38] 0.0005 0.0024 -0.0017 Zhang [39] 0.0190 -0.0302 -0.0648 Wang [40] 0.0138 0.0113 0.0053 Luo [41] -0.0019 0.0021 -0.0046 Zhang [42] -0.0351 0.0238 -0.0057 entropy values are greater than 7.99, infinitely close to 8. In addition, we compared the information entropy values of of Baboon image from other schemes, displayed in Table 6.…”

Section: Information Entropy Analysismentioning

confidence: 99%

Partial-privacy Image Encryption Algorithm Based on Time-varying Delayed Exponentially Controlled Chaotic System

Wang,

Zhang,

Liu

2024

Preprint

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To enhance privacy protection for specific regions within an image while preserving its overall visual integrity, this paper presents a visual encryption algorithm targeting partial privacy-sensitive areas. Initially, a novel time-varying delayed exponentially controlled chaotic system (1-TDEC) is proposed. It utilizes the current precision value to modify the system input in a real-time manner, effectively counteracting the dynamic degradation, and making it more suitable for image encryption algorithms designs. Subsequently, the Mask-RCNN instance segmentation model is incorporated to capture the pixel coordinates of different contents in the image, allowing for access to specific area information as required. Furthermore, this encryption algorithm employs a comprehensive permutation process along with parallel bit-shift coupling, effectively transforming the image target areas into visually meaningless forms. It also employs bit-plane theory, providing encryptors the flexibility to set different decryption access levels by manipulating the key stream length from the chaotic system, thus enabling user-specific decryption control. Finally, the comprehensive performance analysis results highlight that the designed algorithm achieves a maximum information entropy value of 7.9998 in encrypted images. Moreover, its resistance to differential attacks (as measured by NPCR and UACI) and pixel correlation are infinitely close to the ideal state, significantly underscoring its security and effectiveness.

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“…Although some chaotic maps have excellent uniformity or large Lyapunov index, their ergodic and randomness performance is limited [59]. In addition, the iterative nature of one-dimensional chaotic mapping is a kind of compound [60]. Therefore, in order to improve the performance of chaotic mapping, it is necessary to carry out cross composition and high-dimensional expansion of chaotic mapping [61].…”

Section: Chaotic Mapmentioning

confidence: 99%

Fault diagnosis in asynchronous motors based on an optimal deep bidirectional long short-term memory networks

Xu,

Li,

Liu

et al. 2023

Meas. Sci. Technol.

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Fault diagnosis of asynchronous motors has become a pressing need in the metallurgical industry. Due to the complex structure of asynchronous motors, fault types and fault characteristics are diverse, with strong nonlinear relationships between them, which leads to the difficulty of fault diagnosis. To efficiently and accurately diagnose various motor faults, we propose a fault diagnosis method based on an optimal deep bidirectional long short-term memory neural network. First, the three-phase current, multidimensional vibrational signal, and acoustic signal of the asynchronous motor are collected and construct diverse and robust data sample set to enhance the generalization ability of the model. Next, a modified 3D logistics-sine complex chaotic map (3D LSCCM) is constructed to improve the global and local search capabilities of the pigeon swarm optimization algorithm (PIO). Then, we construct a deep bidirectional long short-term memory network (Bid-LSTM) with attention mechanism to mine high-value fault characteristic information. Meanwhile, the optimal hyper-parameters of the deep ABid-LSTM are explored using the modified PIO to improve the training performance of the model. Finally, the fault data samples of asynchronous motor are induced to train and test the proposed framework. By fusing diverse data samples, the proposed method outperforms conventional deep Bid-LSTM and achieves fault diagnosis accuracy of 99.13%. It provides a novel diagnostic strategy for motor fault diagnosis.

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A new efficient permutation-diffusion encryption algorithm based on a chaotic map

Cited by 21 publications

References 73 publications

A novel single kernel parallel image encryption scheme based on a chaotic map

A novel single kernel parallel image encryption scheme based on a chaotic map

Partial-privacy Image Encryption Algorithm Based on Time-varying Delayed Exponentially Controlled Chaotic System

Fault diagnosis in asynchronous motors based on an optimal deep bidirectional long short-term memory networks

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