Chaos-Based Medical Image Encryption Using Symmetric Cryptography

Ashtiyani, Meghdad; Birgani, P. M.; Hosseini, Hesam M.

doi:10.1109/ictta.2008.4530291

Cited by 41 publications

(18 citation statements)

References 11 publications

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“…For example, medical images can be encrypted by combining different techniques such as pixel arrangement and chaotic maps [1], or AES and chaotic maps [2]. Nevertheless, these methods suffer from either high computational costs or low level of security due to leakage of original image information.…”

Section: Introductionmentioning

confidence: 99%

A lossless encryption method for medical images using edge maps

Zhou

Panetta

Agaian

2009

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Image encryption is an effective approach for providing security and privacy protection for medical images. This paper introduces a new lossless approach, called EdgeCrypt, to encrypt medical images using the information contained within an edge map. The algorithm can fully protect the selected objects/regions within medical images or the entire medical images. It can also encrypt other types of images such as grayscale images or color images. The algorithm can be used for privacy protection in the real-time medical applications such as wireless medical networking and mobile medical services.

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Section: Introductionmentioning

confidence: 99%

A lossless encryption method for medical images using edge maps

Zhou

Panetta

Agaian

2009

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…ICA describes a generative model for viewed multivariate data, which ordinarily is capable of finding the underlying factors In this model, data variable are believed to be immediate or nonlinear.ICA always looks for component that are statistically independent and non guassian [11].ICA always find principal component which is dissimilar from other components present …”

Section: Independent Component Analysis (Ica)mentioning

confidence: 99%

A Comparative Study of ICA Arnold Catmap with Hybridization of ICA based Arnold Catmap using Reversible Cellular Automata

Sharma¹

2018

IJRASET

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Image encryption has important role to assure all transmission of image over internet. Security of the multimedia data including image and video is one of the basic requirements for the telecommunications and computer networks. Cellular autoats is based on modifying the mixing matrix in Independent Component Analysis (ICA) using the chaotic Arnold's Cat Map (ACM) for encryption. This research implies that hybridized ICA and ACM has the better results but it can be improved further by utilizing optimistic decision making. This paper put a light on The research of image cryptography based on independent component analysis based arnold cat cryptography still has many problems, but independent component analysis based arnold cat cryptography have many advantages as compared to other encryption algorithms because of the vast parallelism, exceptional energy efficiency, and extra information density inherent in independent component analysis based arnold cat map. We have improved the performance of independent component analysis based Arnold cat based image cryptography technique using reversible cellular automata. The primary objective is to improve the computational speed. To propose hybrid (ICA) based on Arnold cat-map with reversible cellular automata based image encryption technique, to improve the encryption speed further.

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“…However, most applications implement S-Box in the form of a lookup table, in which case a large memory space is required for storing its values. The amount of memory required can be calculated using (2).…”

Section: Proposed Encryptionmentioning

confidence: 99%

“…Many image encryption schemes using traditional symmetric cryptography, such as AES (Advanced Encryption Standard) and DES (Data Encryption Standard) [2,29], as well as asymmetric cryptography, such as RSA and ECC [10,32], have been proposed to prevent forgery and safeguard privacy. However, the direct use of conventional cryptographic algorithms is fraught with difficulties because they were designed to encrypt text data transmission.…”

Section: Introductionmentioning

confidence: 99%

A fast ARX model-based image encryption scheme

Choi

Seok

Seo

et al. 2016

Multimed Tools Appl

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This paper proposes a novel ARX model-based image encryption scheme that uses addition, rotation, and XOR as its confusion and diffusion mechanism instead of S-Box and permutation as in SP networks. The confusion property of the proposed scheme is satisfied by rotation and XOR with chaotic sequences generated from two logistic maps. Unlike classical image encryption schemes that adopt S-Box or permutation of the entire plain image, the diffusion property is satisfied using addition operations. The proposed scheme exhibits good performance on correlation coefficients (horizontal, vertical and diagonal), Shannon's entropy and NPCR (Number of Pixels Change Rate). Furthermore, simulation results indicate that its time complexity is 9.2 times more efficient than the fastest algorithm(Yang's algorithm).

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Chaos-Based Medical Image Encryption Using Symmetric Cryptography

Cited by 41 publications

References 11 publications

A lossless encryption method for medical images using edge maps

A lossless encryption method for medical images using edge maps

A Comparative Study of ICA Arnold Catmap with Hybridization of ICA based Arnold Catmap using Reversible Cellular Automata

A fast ARX model-based image encryption scheme

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