Cryptography of medical images based on a combination between chaotic and neural network

Dridi, Manel; Hajjaji, Mohamed Ali; Bouallègue, Belgacem; Mtibaa, Abdellatif

doi:10.1049/iet-ipr.2015.0868

Cited by 58 publications

(38 citation statements)

References 23 publications

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“…In 2016, Dridi et al [27] proposed an algorithm that employs two encryption processes. The first one uses chaotic map and the second one is based on ANN and chaotic system.…”

Section: Review On Computational Intelligence Based Image Encryptionmentioning

confidence: 99%

Survey on computational intelligence based image encryption techniques

Ramanathan

Hossen

Sayeed

et al. 2020

IJEECS

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Image encryption is an important area in visual cryptography that helps in protecting images when shared through internet. There is lot of cryptography algorithms applied for many years in encrypting images. In the recent years, artificial intelligence techniques are combined with cryptography algorithms to support image encryption. Some of the benefits that artificial intelligence techniques can provide are prediction of possible attacks on cryptosystem using machine learning algorithms, generation of cryptographic keys using optimization algorithms, etc. Computational intelligence algorithms are popular in enhancing security for image encryption. The main computational intelligence algorithms used in image encryption are neural network, fuzzy logic and genetic algorithm. In this paper, a review is done on computational intelligence-based image encryption methods that have been proposed in the recent years and the comparison is made on those methods based on their performance on image encryption.

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“…In 2016, Dridi et al [27] proposed an algorithm that employs two encryption processes. The first one uses chaotic map and the second one is based on ANN and chaotic system.…”

Section: Review On Computational Intelligence Based Image Encryptionmentioning

confidence: 99%

Survey on computational intelligence based image encryption techniques

Ramanathan

Hossen

Sayeed

et al. 2020

IJEECS

View full text Add to dashboard Cite

show abstract

“…A chaos blend neural network for medical image security has been proposed by Dridi et al which concentrated more on the complexity of algorithm compared with other works. The bias of bi‐neuron network has also been adopted in which the random sequences were generated through the chaotic logistic map for encryption [18].…”

Section: Introductionmentioning

confidence: 99%

Chua's diode and strange attractor: a three‐layer hardware–software co‐design for medical image confidentiality

Rajagopalan

Poori

Narasimhan

et al. 2020

IET Image Processing

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“…In practical communication systems, fast encryption in the real-time plays an important role, Wang et al [15] suggested a fast image encryption scheme by using parallel diffusion technique, the resulted system greatly enhances the encryption efficiency, where the data volume to be protected is large, in this technique it is needed to use the parallel computation techniques to enhance the efficiency In the image encryption based on chaotic maps, the encryption algorithm security depends on the characteristic of the chaotic maps and the structure of the algorithm [16,17], thus a better chaotic map distribution is required. However, classical chaotic systems such as logistic and quadratic maps suffer many weaknesses, not the least is the limited range of their chaotic conducts, in addition to non-uniform data distribution of the generated chaotic sequences [18].…”

Section: Introductionmentioning

confidence: 99%

A Tweakable Image Encryption Algorithm Using an Improved Logistic Chaotic Map

Herbadji¹,

Derouiche²,

Belmeguenaï³

et al. 2019

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This paper aims to improves the chaotic behavior of classical logistic chaotic map for image encryption. First, this classical technique was enhanced, and the effectiveness of the improved technique was verified by the bifurcation diagram and Lyapunov exponent, in comparison to the classical technique. On this basis, an efficient tweakable image encryption algorithm was proposed to protect the security of digital image transmission. The proposed algorithm adopts a confusion-diffusion architecture. With the aid of the tweak, each original image is encrypted as multiple different images using the same secret key-stream. The experimental results prove that the proposed algorithm, despite its simplicity, can withstand several types of attacks through image encryption. The research results shed new light on the data security in the transmission of digital images.

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Cryptography of medical images based on a combination between chaotic and neural network

Cited by 58 publications

References 23 publications

Survey on computational intelligence based image encryption techniques

Survey on computational intelligence based image encryption techniques

Chua's diode and strange attractor: a three‐layer hardware–software co‐design for medical image confidentiality

A Tweakable Image Encryption Algorithm Using an Improved Logistic Chaotic Map

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