Enhanced Lorenz-Chaotic Encryption Method for Partial Medical Image Encryption and Data Hiding in Big Data Healthcare

Rashmi, P; Chandramouli, Supriya Maganahalli; Hua, Qiaozhi

doi:10.1155/2022/9363377

Cited by 24 publications

(13 citation statements)

References 55 publications

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“…Meanwhile, Liu and Wang [26] put forward a method for encrypting three-dimensional (3-D) color images through the utilization of tent map [27], logistic map [28], and sine map [29]. Wang et al [30] introduced a cryptosystem based on the perceptron model [31] and the Lorenz chaotic system [32]. Wang et al [33] deployed chaotic systems to encrypt the color components simultaneously, aiming to decrease computational complexity.…”

Section: Related Workmentioning

confidence: 99%

Innovative Cybersecurity for Enhanced Data Protection: An Extended Bit-Plane Extraction and Chaotic Permutation-Diffusion Approach in Information Security

Rehman,

Shafique,

Khan

et al. 2024

IEEE Access

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In the era of big data, protecting digital images from cyberattacks during network transmission is of utmost importance. While various image encryption algorithms have been developed, some remain vulnerable to specific cyber threats. This paper presents an enhanced version of the image encryption algorithm based on bit-plane extraction (BPCPD) to address its vulnerability to chosen-plaintext attacks. The proposed cryptographic system encompasses three primary phases. The initial phase involves bit-plane extraction from the plaintext image and the generation of random sequences and a random image using multiple chaotic maps, such as the chaotic Arnold map and the chaotic CAT map. The second phase is dedicated to permutation operations, which comprise three sub-phases: multi-layer permutation, multi-round permutation, and recursive permutation. In the third phase, diffusion is introduced to the permuted image through pixel substitution, coupled with XOR operations performed on the respective bit-planes of the random image. To gauge the efficiency of the proposed encryption scheme, a range of experimental analyses are conducted, including histogram analysis, contrast assessment, entropy measurement, correlation analysis, encryption quality assessment, and investigations into noise attacks and occlusion attacks. The results of these experimental analyses, in comparison to an existing encryption scheme, demonstrate that the proposed framework surpasses both BPCPD and other existing encryption schemes in various aspects of performance.

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Section: Related Workmentioning

confidence: 99%

Innovative Cybersecurity for Enhanced Data Protection: An Extended Bit-Plane Extraction and Chaotic Permutation-Diffusion Approach in Information Security

Rehman,

Shafique,

Khan

et al. 2024

IEEE Access

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show abstract

“…Another study [35] applied (ICE) Improved Chaos Encryption to strengthen the protection that was based on randomization. The ICE approach was employed to increase the medical encryption's level of security.…”

Section: Encryption Based On Chaotic Mapsmentioning

confidence: 99%

Medical Image Encryption: A Comprehensive Review

et al. 2023

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In medical information systems, image data can be considered crucial information. As imaging technology and methods for analyzing medical images advance, there will be a greater wealth of data available for study. Hence, protecting those images is essential. Image encryption methods are crucial in multimedia applications for ensuring the security and authenticity of digital images. Recently, the encryption of medical images has garnered significant attention from academics due to concerns about the safety of medical communication. Advanced approaches, such as e-health, smart health, and telemedicine applications, are employed in the medical profession. This has highlighted the issue that medical images are often produced and shared online, necessitating protection against unauthorized use.

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“…Low and high four-bit planes undergo shuffling by diagonal and spiral SCAN patterns. In [ 18 ], an Improved Chaos Encryption (ICE) is employed for improving the secrecy using arbitrary nature. The overall energy is computed on the image and a comparison is made with adaptive thresholds for segmenting the Lorenz module employed in the chaotic technique for improving the security approach.…”

Section: Literature Surveymentioning

confidence: 99%

Pigeon Inspired Optimization with Encryption Based Secure Medical Image Management System

Geetha

Mani

Mayuri

et al. 2022

Computational Intelligence and Neuroscience

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Presently, technological advancements in the healthcare sector pose a challenging problem relevant to the security and privacy of health-related applications. Medical images can be considered significant and sensitive data in the medical informatics system. In order to transmit medical images in an open medium, the design of secure encryption algorithms becomes essential. Encryption can be considered one of the effective solutions for accomplishing security. Although numerous models have existed in the literature, they could not adaptable to the rising number of medicinal images in the health sector. At the same time, the optimal key generation process acts as a vital part in defining the performance of the encryption techniques. Therefore, this article presents a Pigeon Inspired Optimization with Encryption-based Secure Medical Image Management (PIOE-SMIM) technique. The proposed PIOE-SMIM approach majorly concentrates on the development of secret share creation (SSC) and the encryption process. At the initial stage, the medical images are converted into a collection of 12 shares using the SSC approach. In addition, an elliptic curve cryptography (ECC) scheme is employed for the encryption process. In order to optimum key creation procedure in the ECC model, the PIO technique is exploited with the aim of maximizing PSNR. Finally, on the receiver side, the decryption and share reconstruction processes are performed to construct the original images. The PIOE-SMIM model displayed an enhanced PSNR of 59.37 dB in image 1. Improved PSNR of 59.53 dB is given for image 5 using the PIOE-SMIM model. For demonstrating an enhanced performance of the PIOE-SMIM method, a widespread experimental study is made and the results highlighted the supremacy of the PIOE-SMIM model over other techniques.

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Enhanced Lorenz-Chaotic Encryption Method for Partial Medical Image Encryption and Data Hiding in Big Data Healthcare

Cited by 24 publications

References 55 publications

Innovative Cybersecurity for Enhanced Data Protection: An Extended Bit-Plane Extraction and Chaotic Permutation-Diffusion Approach in Information Security

Innovative Cybersecurity for Enhanced Data Protection: An Extended Bit-Plane Extraction and Chaotic Permutation-Diffusion Approach in Information Security

Medical Image Encryption: A Comprehensive Review

Pigeon Inspired Optimization with Encryption Based Secure Medical Image Management System

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