PixAdapt: A novel approach to adaptive image encryption

Tuli, Rohan; Soneji, Hitesh Narayan; Churi, Prathamesh

doi:10.1016/j.chaos.2022.112628

Cited by 13 publications

(5 citation statements)

References 26 publications

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“…This method is easily implementable and highly adaptable, effectively meeting the evolving security needs. Therefore, the application and research of image encryption in information security are gaining heightened importance [6][7][8][9][10].…”

Section: Introductionmentioning

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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Section: Introductionmentioning

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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“…In recent years, in order to better fulfill the different tasks of encryption, an adaptive disambiguation method that combines the target image information to directly disambiguate the image pixels is proposed in [27], which employs adaptive disambiguation to change the image pixel values and effectively disambiguates the pixel positions. In [28], in order to consider the representative features of the image, a novel adaptive image encryption algorithm, PixAdapt, is proposed, which adaptively changes the parameters of the chaotic system, thereby optimizing theunified average changing intensity(UACI)value of the image. The above adaptive mechanism cannot solve the problem of rationally adjusting the encryption resources when they are limited.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Region Encryption Algorithm Based on Adaptive Mechanism

Wang,

Gao,

Xiong

et al. 2024

Electronics

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The advancement of information technology has led to the widespread application of remote measurement systems, where information in the form of images or videos, serving as measurement results, is transmitted over networks. However, this transmission is highly susceptible to attacks, tampering, and disputes, posing significant risks to the trustworthy transmission of measurement results from instruments and devices. In recent years, many encryption algorithms proposed for images have focused on encrypting the entire image, resulting in resource waste. Additionally, most encryption algorithms are designed only for single-object-type images. Addressing these issues, this paper proposes a multi-object region encryption algorithm based on an adaptive mechanism. Firstly, an adaptive mechanism is employed to determine the strategy for adjusting the sampling rate of encryption objects, achieved through an encryption resource allocation algorithm. Secondly, an improved polygon segmentation algorithm is utilized to separate single-object regions from multi-object images, dynamically adjusting the sequence of encryption objects based on the adaptive mechanism. Finally, encryption is achieved using a chaos fusion XOR encryption algorithm. Experimental validation using instrument images demonstrates that the proposed algorithm offers high efficiency and security advantages compared to other mainstream image encryption algorithms.

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“…Their algorithm first utilized the wavelet transform to sparsify the input image, and then performed subsequent encryption processing using binary patterns and compressive sensing. In [17], an image encryption algorithm relying on several chaotic maps and optimization algorithms was suggested. This algorithm employed optimization algorithms to modify encryption parameters and ultimately produced the final ciphertext image by performing confusion and diffusion operations.…”

Section: Introductionmentioning

confidence: 99%

Exploiting Newly Designed Fractional-Order 3D Lorenz Chaotic System and 2D Discrete Polynomial Hyper-Chaotic Map for High-Performance Multi-Image Encryption

Feng,

Wang,

Liu

et al. 2023

Fractal Fract

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Chaos-based image encryption has become a prominent area of research in recent years. In comparison to ordinary chaotic systems, fractional-order chaotic systems tend to have a greater number of control parameters and more complex dynamical characteristics. Thus, an increasing number of researchers are introducing fractional-order chaotic systems to enhance the security of chaos-based image encryption. However, their suggested algorithms still suffer from some security, practicality, and efficiency problems. To address these problems, we first constructed a new fractional-order 3D Lorenz chaotic system and a 2D sinusoidally constrained polynomial hyper-chaotic map (2D-SCPM). Then, we elaborately developed a multi-image encryption algorithm based on the new fractional-order 3D Lorenz chaotic system and 2D-SCPM (MIEA-FCSM). The introduction of the fractional-order 3D Lorenz chaotic system with the fourth parameter not only enables MIEA-FCSM to have a significantly large key space but also enhances its overall security. Compared with recent alternatives, the structure of 2D-SCPM is simpler and more conducive to application implementation. In our proposed MIEA-FCSM, multi-channel fusion initially reduces the number of pixels to one-sixth of the original. Next, after two rounds of plaintext-related chaotic random substitution, dynamic diffusion, and fast scrambling, the fused 2D pixel matrix is eventually encrypted into the ciphertext one. According to numerous experiments and analyses, MIEA-FCSM obtained excellent scores for key space (2541), correlation coefficients (<0.004), information entropy (7.9994), NPCR (99.6098%), and UACI (33.4659%). Significantly, MIEA-FCSM also attained an average encryption rate as high as 168.5608 Mbps. Due to the superiority of the new fractional-order chaotic system, 2D-SCPM, and targeted designs, MIEA-FCSM outperforms many recently reported leading image encryption algorithms.

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PixAdapt: A novel approach to adaptive image encryption

Cited by 13 publications

References 26 publications

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

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

Multi-Objective Region Encryption Algorithm Based on Adaptive Mechanism

Exploiting Newly Designed Fractional-Order 3D Lorenz Chaotic System and 2D Discrete Polynomial Hyper-Chaotic Map for High-Performance Multi-Image Encryption

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