A secure algorithm using high-dimensional sine map for color image encryption

Ahuja, Bharti; Doriya, Rajesh

doi:10.1007/s41870-023-01190-1

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…These types of maps are usually represented with the iterative equation. Examples of discrete maps are logistic [ 1 ] and sine maps [ 2 ]. The continuous time differential equation map is used to represent the evaluation of the system at a continuous function of time.…”

Section: Introductionmentioning

confidence: 99%

An efficient and compromise-resilient image encryption scheme for resource-constrained environments

Khan,

Mehmood,

Bhutta

et al. 2024

PLoS ONE

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The secret keys produced by current image cryptosystems, which rely on chaotic sequences, exhibit a direct correlation with the size of the image. As the image dimensions expand, the generation of extensive chaotic sequences in the encryption and decryption procedures becomes more computationally intensive. Secondly, a common problem in existing image encryption schemes is the compromise between privacy and efficiency. Some existing lightweight schemes reveal patterns in encrypted images, while others impose heavy computational burdens during encryption/decryption due to the need for large chaotic sequences. In this study, we introduce a lightweight image encryption scheme that involves partitioning the image into uniformly sized tiles and generating a chaotic sequence accordingly. This approach diminishes the necessity to create extensive chaotic sequences equal to the tile size, which is significantly smaller than the original image. As a result, it alleviates the processing burden associated with generating sequences equivalent to the original image size. The results confirm that our proposed scheme is lightweight and secure compared to the latest state-of-the-art image encryption schemes. Additionally, sensitivity analysis demonstrates that the proposed image encryption technique, with a UACI value of 33.48 and NPRC value of 99.96, affirms its resistance to differential attacks.

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Section: Introductionmentioning

confidence: 99%

An efficient and compromise-resilient image encryption scheme for resource-constrained environments

Khan,

Mehmood,

Bhutta

et al. 2024

PLoS ONE

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“…Increasingly, highdimensional (HD) chaotic systems are adopted for image encryption systems because of their more complex dynamic behavior. In reference [21], the authors proposed a color image encryption scheme based on a novel Five Dimensional Sine Chaotic System that produces chaotic data used for encryption. Mohammed et al [22] presented a secure image encryption scheme using a high-dimensional chaotic system and DNA coding, which adopts the improved Rossler system as the keystream generator, and the improved Rossler system has better chaotic performance and higher security.…”

Section: Introductionmentioning

confidence: 99%

A Color Image Encryption Algorithm Based on Compressive Sensing and Block-Based DNA Coding

He,

Li,

Wang

2024

IEEE Access

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Image encryption is an effective method to prevent images from being captured or stored illegally. With the increasing demand for image security and transmission efficiency, this paper proposes a color image encryption algorithm based on chaotic systems, which combines block-based DNA coding and compressive sensing. Firstly, the plain image is compressed using compressive sensing (CS) to obtain three measurement value matrices, which are then quantized into integer matrices and permuted by the method of the Josephus problem. Subsequently, the scrambled measurement value matrices are divided into subblocks. These subblocks are encoded by random DNA rules, diffused by chaotic sequences-based DNA operations, and dynamically decoded. It is worth noting that the initial values of the chaotic systems used for the DNA operations and the generation of the measurement matrices depend on the plain image, which enables our algorithm to withstand well the chosen-plaintext attacks and the known-plaintext attacks. Moreover, we utilize singular value decomposition (SVD) to optimize the measurement matrices to enhance the reconstruction quality of the encrypted image. Simulation results and security analysis show that the algorithm has excellent compression and encryption performance and is resistant to various typical attacks.

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