Region of interest-based medical image encryption technique based on chaotic S-boxes

Jamal, Sajjad Shaukat; Hazzazi, Mohammad Mazyad; Khan, Muhammad Fahad; Bassfar, Zaid; Aljaedi, Amer; ul Islam, Zain

doi:10.1016/j.eswa.2023.122030

Cited by 25 publications

(3 citation statements)

References 30 publications

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“…Over the past decade, extensive research has been conducted on encrypting medical images based on chaotic systems [9,10]. Chaotic dynamic nonlinear systems, with characteristics of sensitivity to initial conditions and pseudo-randomness, have proven to be useful tools in developing new encryption algorithms.…”

Section: Introductionmentioning

confidence: 99%

Securing DICOM Images with a Novel Chaotic Encryption Scheme Utilizing Wavelet Transform and Biometric Fingerprint

Mortajez,

Dehghan,

Azizi

2024

Preprint

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Medical images contain sensitive diagnostic and therapeutic information about patients. The confidentiality of medical images is crucial, particularly in telehealth. Data encryption is a vital method for protecting such sensitive information. One of the most common methods for ensuring information security is data encryption, and image encryption is a common process for protecting visual data. This paper presents a novel encryption scheme for DICOM medical images, integrating chaotic logistic systems, discrete wavelet transforms, and biometric fingerprint data. The method generates dynamic, interdependent security keys by combining DICOM image data with fingerprint information. Pixels confusion phase is achieved through a block-based strategy and a multi-level map structure, while diffusion phase employs a threshold-based strategy based on chaotic logistic systems. The encryption of DICOM images is accomplished with very low computational complexity. The proposed method demonstrates a significant trade-off between computational complexity and security performance with its simplicity of implementation. We tested the scheme on standard DICOM images, assessing security through entropy, key sensitivity, key space, correlation, and histogram analyses. Comparative studies under identical conditions revealed superior performance of our scheme over existing methods. In the presented scheme, dynamic security keys are generated for each input medical image based on DICOM and fingerprint information. Our scheme's dynamic security keys, tailored to each medical image, offer a balance between computational efficiency and robust security. The simplicity of implementation, coupled with rigorous evaluation, confirms the method's effectiveness against security threats, making it a promising solution for medical image encryption in telehealth.

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Section: Introductionmentioning

confidence: 99%

Securing DICOM Images with a Novel Chaotic Encryption Scheme Utilizing Wavelet Transform and Biometric Fingerprint

Mortajez,

Dehghan,

Azizi

2024

Preprint

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“…Encrypting the entire image largely wastes resources. Therefore, in recent years, there has been a growing number of encryption algorithms focusing on regions of interest in images [18][19][20][21]. Liu [22] proposed a method where the content owner divides the image into regions of interest and non-interest.…”

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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“…Due to the significance and practicality of S-box, which is utilized to develop different image encryption methods. For instance, Jamal et al [32] constructed a new innovative medical image encryption scheme using a dynamic S-box. They focus on encrypting regions of interest (ROI) within the image, rather than the entire image.…”

Section: Introductionmentioning

confidence: 99%

Image encryption scheme based on pseudo-DWT and cubic S-box

Qiao,

Mei,

Jia

et al. 2024

Phys. Scr.

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Combining a pseudo-Discrete Wavelet Transform (pseudo-DWT) and a novel cubic S-box technique, an image encryption scheme using a newly-developed four-dimensional hyperchaotic system (NewHS) is presented in this paper. The principal advantage of this method resides in its enhanced security, with hash values (computed by SHA-256) of the plaintext, thereby bolstering resistance to chosen-plaintext attack. Initially, a novel three-dimensional cubic S-box is designed via chaotic sequence, increasing the complexity and randomness. Subsequently, the proposed scheme employs a Ladder permutation for image scrambling, achieving a one-time pad encryption effect. Finally, a pseudo-DWT is devised to segment and reconstruct the image, implementing scrambling and diffusion encryption. Moreover, experiments and security analysis also prove that the proposed encryption scheme can show good performance.

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Region of interest-based medical image encryption technique based on chaotic S-boxes

Cited by 25 publications

References 30 publications

Securing DICOM Images with a Novel Chaotic Encryption Scheme Utilizing Wavelet Transform and Biometric Fingerprint

Securing DICOM Images with a Novel Chaotic Encryption Scheme Utilizing Wavelet Transform and Biometric Fingerprint

Multi-Objective Region Encryption Algorithm Based on Adaptive Mechanism

Image encryption scheme based on pseudo-DWT and cubic S-box

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