An efficient image encryption scheme for TMIS based on elliptic curve integrated encryption and linear cryptography

Benssalah, Mustapha; Rhaskali, Yasser; Drouiche, Karim

doi:10.1007/s11042-020-09775-9

Cited by 42 publications

(27 citation statements)

References 42 publications

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“…We notice that the execution time increases with the image size. The proposed encryption algorithm ranks first compared to the other mentioned algorithms [10, 26, 29, 59]. The simulation results indicate that the proposed encryption is sufficiently fast for practical and real‐time applications.…”

Section: Resultsmentioning

confidence: 99%

“…We notice that the execution time increases with the image size. The proposed encryption algorithm ranks first compared to the other mentioned algorithms [10,26,29,59].…”

Section: Execution Time Analysismentioning

confidence: 99%

“…Since the image has a large size, a particular storage format, and a high correlation among adjacent pixels, conventional encryption techniques such as RSA, DES, AES, and IDEA are not convenient for bulky image encryption [3]. Researchers have proposed numerous medical image encryption algorithms such as algorithms based on chaos [4][5][6][7][8][9], Elliptic Curve Cryptography (ECC) [10][11][12], and combined DNA-chaos [13][14][15][16][17][18][19][20][21][22]. sensitivity to initial conditions and parameters, high ergodicity, mixing property, and highly complex behaviour [23][24][25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

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Robustly correlated key‐medical image for DNA‐chaos based encryption

Aouissaoui

Bakir

Sakly

2021

IET Image Processing

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Medical images include confidential and sensitive information about patients. Hence, ensuring the security of these images is a crucial requirement. This paper proposes an efficient and secure medical image encryption-decryption scheme based on deoxyribonucleic acid (DNA), one-dimensional chaotic maps (tent and logistic maps), and hash functions (SHA-256 and MD5). The first part of the proposed scheme is the key generation based on the hash functions of the image and its metadata. The key then is highly related and intensely sensitive to the original image. The second part is the rotation and permutation of the first two MSB bit-plans of the medical image to reduce its black background that produces redundant DNA encoded sequences. The third part is the DNA encoding-decoding using dynamically chosen DNA rules for every 2-bit pixel value through the logistic map. Meanwhile, the confusion-diffusion is performed using the tent map and XOR operation. Simulation results and security analysis prove the good encryption effects of the proposed scheme compared to the state-of-art methods with a correlation of 6.66617e-7 and a very large key space of 2 624 . Furthermore, the proposed system has a strong ability to resist various common attacks such as chosen/known-plaintext attacks and cropping/noise attacks. Recently, there has been a significant interest in chaosbased cryptography because of its interesting features such asThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Resultsmentioning

confidence: 99%

“…We notice that the execution time increases with the image size. The proposed encryption algorithm ranks first compared to the other mentioned algorithms [10,26,29,59].…”

Section: Execution Time Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robustly correlated key‐medical image for DNA‐chaos based encryption

Aouissaoui

Bakir

Sakly

2021

IET Image Processing

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“…This paper [ 32 ] addresses a new cryptographic technique for medical image protection based on combining ECC with Hill cipher (ECCHC). The authors do this combination to overcome the weakness of some encryption schemes against some attacks and the key length challenge that is not robust against brute force attacks.…”

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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“…An efficient image encryption design (EIED) was suggested by Benssalah et al 22 for linear cryptography and Telecare Medical Information Systems (TMIS) oriented elliptic curve integrated encryption. They proposed a generalized cryptosystem to enhance the encryption scheme and fix the established flaws.…”

Section: Review Of Related Workmentioning

confidence: 99%

An efficient chaotic system based hybrid radiation heat transfer sunflower optimization algorithm for securing digital image transmission

Sekar

Ezhumalai

Chokkalingam

2022

Concurrency and Computation

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At the pixel level, several chaos-based image encryption and decryption models have been developed throughout the years. However, due to long-haul, privacy, and security considerations, it has a number of drawbacks, including increased network complexity and low scalability, and actual text cracking avoidance is more challenging. In this study, we have proposed a novel approach for image encryption and decryption. The confusion and diffusion process is performed using fractional-order chaotic maps with the hybrid radiation heat transfer algorithm based sunflower optimization (HRHT-SO) algorithm. The proposed method works for both color and grayscale images. The HRHT-SO algorithm is the combination of both heat transfer search (HTS) and sunflower optimization (SO) algorithms. During the search process, the SO algorithm improves the radiation stage of the HTS model. Further, the DNA sequence improves the performance of image encryption and decryption using fractional-order chaotic maps with the HRHT-SO algorithm. The experimental investigations are carried out by using various parameters such as key sensitivity analysis, keyspace analysis, histogram analysis, correlation coefficient analysis, entropy analysis, PSNR, NPCR, and UACI analysis thereby analyzing the efficiency and complexity of the encryption scheme.Hence, the proposed method outperforms superior performances in all the experiments. K E Y W O R D Sconfusion and diffusion process, DNA sequence, hybrid radiation heat transfer algorithm based sunflower optimization algorithm, image encryption and decryption INTRODUCTIONThe rapid expansion of computer networks frequently leads to cases of information leakage as a result of infinite storage and network transmission activities. In multimedia communication, the major concern is secured digital image transmission and storage. 1 The communication network transports multimedia information and must be protected against unauthorized access. The diffusion and confusion techniques ensure data protection in cryptography. Image security is provided by using image encryption, which is one of the most important cryptography schemes. 2When utilizing a cryptosystem to encrypt an image, numerous image attributes are taken into account, including strong adjacent pixel correlation, increased redundancy, and larger size. For these reasons, conventional asymmetric and symmetric methods for image encryption (IE) are ineffective.

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An efficient image encryption scheme for TMIS based on elliptic curve integrated encryption and linear cryptography

Cited by 42 publications

References 42 publications

Robustly correlated key‐medical image for DNA‐chaos based encryption

Robustly correlated key‐medical image for DNA‐chaos based encryption

Security of medical images for telemedicine: a systematic review

An efficient chaotic system based hybrid radiation heat transfer sunflower optimization algorithm for securing digital image transmission

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