Binary search tree image encryption with DNA

Nematzadeh, Hossein; Enayatifar, Rasul; Yadollahi, Mohammadreza; Lee, Malrey; Jeong, Gisung

doi:10.1016/j.ijleo.2019.163505

Cited by 55 publications

(52 citation statements)

References 25 publications

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“…Compared with the Ref. [11], [33], [34], [38], the information entropy of the encrypted image in this paper is greater, indicating that it can effectively resist statistical attacks. When calculating information entropy, whether to discard pixels with probability 0 has no effect on ordinary grayscale images.…”

Section: E Information Entropymentioning

confidence: 82%

“…We can see that compared with the Ref. [33], [37], [39], our encrypted image generally has more ideal NPCR and UACI, which shows that the algorithm has good resistance to differential attack.…”

Section: G Differential Attack Analysismentioning

confidence: 84%

“…Because the Ref. [33], [34], [38] does not mention the plain pixel value of the test image, it is represented by '-' in this article.…”

Section: E Information Entropymentioning

confidence: 99%

“…The time comparison results of the scheme in this paper and the encryption algorithms in Ref. [11], [33], [37] are shown in Table 6. This shows that our algorithm not only meets the security analysis standards, but also has a short encryption time and is easy to implement.…”

Section: Encryped Calculation Time Analysismentioning

confidence: 99%

“…For example, Chai et al [32] used dynamic DNA encryption and a four-wing hyper-chaotic system to encrypt color images. Nematzadeh et al [33] combined the properties of DNA sequences and binary search trees and proposed a new image encryption method. Zhang et al [34] proposed an image encryption algorithm based on dynamic DNA encoding and the feistel network.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Image Encryption Based on Hash Table Scrambling and DNA Substitution

Wang

Liu

2020

IEEE Access

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This paper proposes an image encryption algorithm based on hash table structure scrambling and DNA substitution. The algorithm uses the classical 'scrambling-diffusion' process, and the pseudo-random sequence used in each process is generated by the hyper-chaotic Chen system. Firstly, in the process of scrambling, two sequences with no repeated values are constructed by using the closed hash method in the hash table structure for chaotic sequences, and the plain image is scrambled twice according to the two sequences. Then, in the process of diffusion, DNA coding and decoding rules and DNA substitution rules are made according to the chaotic sequences. The image is dynamically encoded, substituted and decoded with DNA. In this way, while modifying the gray value of image pixels, it also destroys the strong correlation between adjacent pixels. Through a series of verifications, it is concluded that the algorithm not only has good encryption effect, high security and large key space, but also has the advantages of high key sensitivity and strong anti-attack capability. INDEX TERMS Hash table, DNA substitution, hyper-chaotic system, image encryption. XINGYUAN WANG received the Ph.D. degree in computer software and theory from Northeast University, China, in 1999. From 1999 to 2001, he was a Postdoctoral Researcher with Northeast University. He is currently a Professor of information science and technology with Dalian Maritime University, China. He has published three books and more than 400 scientific articles in refereed journals and proceedings. His research interests include nonlinear dynamics and control, image processing, chaos cryptography, systems biology, and complex networks. LIN LIU received the bachelor's degree from the School of Information and Electrical Engineering, Ludong University, China. She is currently pursuing the master's degree in computer technology with Dalian Maritime University, China. Her main research interests are in chaotic encryption and image processing.

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Section: E Information Entropymentioning

confidence: 82%

Section: G Differential Attack Analysismentioning

confidence: 84%

“…Because the Ref. [33], [34], [38] does not mention the plain pixel value of the test image, it is represented by '-' in this article.…”

Section: E Information Entropymentioning

confidence: 99%

Section: Encryped Calculation Time Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Image Encryption Based on Hash Table Scrambling and DNA Substitution

Wang

Liu

2020

IEEE Access

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Privacy‐preserving in the smart healthcare system using steganography and chaotic functions based on DNA

Esmaeelzadeh Rostam,

Motameni,

Enayatifar

2023

Security and Privacy

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The smart healthcare system is one of the Internet of Things‐based applications that are increasingly used nowadays. One of the requirements of this system is privacy‐preserving, which should protect the disclosure of the patient record contents. In the present paper, a combination of chaotic functions and a new DNA‐based steganography method, and image blocking are suggested to protect patients' privacy‐preserving. First, the image is blocked, and the initial key for the chaotic function will be gained by using the centers of the blocks. Then the data and image are transformed into DNA sequences. Finally, one of the randomly chosen DNA strands of data is XOR with the center of one randomly selected block and will be placed in one of the block pixels. The failure to send the initial key separately to generate random numbers, as well as the random selection of secret data bits and image pixels for steganography has increased the security of the proposed method. The simulation results not only indicate the quality of the stego‐image but also show better performance of the proposed method than the existing methods.

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