Secure Medical Data Using Symmetric Cipher Based Chaotic Logistic Mapping

Harshitha, M; Rupa, Ch.; Sai, K. Pujitha; Pravallika, A.; Sowmya, V.

doi:10.1109/icaccs51430.2021.9441836

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Another study [40] suggested a method for encrypting medical images using chaotic logistic maps and linear feedback shift registers to produce pseudo-random sequences, which were then utilized to form a cipher key by being XORed together. The suggested approach protected several different medical image formats from a wide range of threats.…”

Section: Encryption Based On Chaotic Mapsmentioning

confidence: 99%

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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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Section: Encryption Based On Chaotic Mapsmentioning

confidence: 99%

“…Chaotic security architecture X-RAY Medical images Noise Attack [40] Avoid unauthorized access to sensitive medical image information.…”

Section: Ref Nomentioning

confidence: 99%

Medical Image Encryption: A Comprehensive Review

et al. 2023

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“…Simulation results indicate that the developed cryptosystem has to satisfy the requirements of IoT healthcare applications. Harshitha et al [ 64 ] proposed an image encryption technique for medical images based on a chaotic logistic map and linear feedback shift register to generate pseudo-random sequences, then XORing these sequences to construct the key used for encryption generate cipher medical image data. The proposed scheme is robust to various attacks and secures many formats of medical images.…”

Section: Cryptographymentioning

confidence: 99%

Security of medical images for telemedicine: a systematic review

Magdy

Hosny

Ghali

et al. 2022

Multimed Tools Appl

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Recently, there has been a rapid growth in the utilization of medical images in telemedicine applications. The authors in this paper presented a detailed discussion of different types of medical images and the attacks that may affect medical image transmission. This survey paper summarizes existing medical data security approaches and the different challenges associated with them. An in-depth overview of security techniques, such as cryptography, steganography, and watermarking are introduced with a full survey of recent research. The objective of the paper is to summarize and assess the different algorithms of each approach based on different parameters such as PSNR, MSE, BER, and NC.

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Biomedical image security

Abu Al-Haija

2024

Advances in Artificial Intelligence

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Secure Medical Data Using Symmetric Cipher Based Chaotic Logistic Mapping

Cited by 7 publications

References 14 publications

Medical Image Encryption: A Comprehensive Review

Medical Image Encryption: A Comprehensive Review

Security of medical images for telemedicine: a systematic review

Biomedical image security

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