An image encryption scheme based on public key cryptosystem and quantum logistic map

Ye, Guodong; Jiao, Kaixin; Huang, Xiaoling; Goi, Bok‐Min; Yap, Wun‐She

doi:10.1038/s41598-020-78127-2

Cited by 33 publications

(20 citation statements)

References 59 publications

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“…e correlation coefficient is calculated as follows [54]: where n is the number of pairs of adjacent pixels, p i and q i are a pair of adjacent pixel values, E(p) is the mean of p, E(q) is the mean of q, D(p) is the variance of p, D(q) is the variance of q, and cov(p, q) represents the covariance of p and q. Randomly select 5000 pairs of adjacent pixels from the original remote sensing image "Land1" and ciphertext remote sensing image, and calculate their correlation coefficients in horizontal, vertical, and diagonal directions, as shown in Table 3. In addition, compare the correlation coefficient analysis of remote sensing image encryption algorithm with other papers, which is also listed in Table 3.…”

Section: Correlation Coefficient Analysismentioning

confidence: 99%

A Novel Multiband Remote-Sensing Image Encryption Algorithm Based on Dual-Channel Key Transmission Model

Liu

et al. 2021

Security and Communication Networks

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With the rapid development of remote sensing technology, satellite remote sensing images have been involved in many areas of people’s lives. Remote sensing images contain military secrets, land profiles, and other sensitive data, so it is urgent to encrypt remote sensing images. This paper proposes a dual-channel key transmission model. The plaintext related key is embedded into the ciphertext image through bit-level key hiding transmission strategy, which enhanced the ability of ciphertext image to resist known-plaintext attack and chosen plaintext attack. In addition, a multiband remote sensing image encryption algorithm based on Boolean cross-scrambling and semi-tensor product diffusion is designed. Firstly, the pixel positions of each band of the remote sensing image are disturbed. Then, the random sequence generated by the four-dimensional chaotic system is processed and deformed to obtain a Boolean matrix. Based on the generated Boolean matrix and certain rules, the cross-confusion between the bands is carried out. Finally, the semi-tensor product operation is used in the diffusion process. Simulation results and experimental analysis show that the proposed algorithm obtains a larger key space and has stronger antiattack ability than other remote sensing image encryption algorithms. It can meet the security transmission of multiband remote sensing image in open space.

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Section: Correlation Coefficient Analysismentioning

confidence: 99%

A Novel Multiband Remote-Sensing Image Encryption Algorithm Based on Dual-Channel Key Transmission Model

Liu

et al. 2021

Security and Communication Networks

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“…The analysis shows that the algorithm has high robustness in resisting attacks. Ye et al [28] proposed an image encryption method based on a public key cryptosystem, quantum logistic map, discrete cosine transform (DCT), and substitution-permutation network (SPN). The public key cryptosystem is used to generate the initial value of the quantum logistic map sequence, and the chaotic sequence is used to complete the substitution and permutation of the image.…”

Section: Chaotic Encryption Technologymentioning

confidence: 99%

Template Protection Based on Chaotic Map for Finger Vein Recognition

Shao

Ren

Sun

et al. 2021

IEEJ Transactions Elec Engng

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While the widespread application of biometric identification technology has provided convenient services, the security, and privacy of personal data have also attracted increasing attention. Because biometric traits are unique, once an attack occurs, the information stored in the system will be permanently leaked. Thus, ensuring the security of biometric templates is a major challenge. In order to solve this problem, we propose a finger vein template protection method based on chaotic map. First, we randomize and scramble the finger vein features after feature extraction, disturbing the location distribution of the pixels. Second, on the basis of the chaotic features of the finger veins, binary quantization is applied to further ensure the safety of the template. Finally, the compact and safe finger vein template is directly stored in the database. Finger vein matching is realized in the encryption domain, which changes the way that the traditional finger vein recognition system directly stores biometric templates. We conducted a series of detailed experiments on the public dataset. The experimental results show that our method can ensure the safety of finger vein templates while maintaining stable recognition performance. Moreover, the method has universality for different feature-extraction methods and meets the requirements of good biometric template protection.

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“…Genetic operations based image encryption algorithms are discussed in [10][11][12]. Other chaotic maps, such as digital chaotic map [13], Bülban chaotic map [14], and hybrid chaotic map [15] based image encryption algorithms are also discussed here for getting more ideas about chaotic behaviour. Image encryption algorithms are classified based on pixel-level and bit-level.…”

Section: Related Workmentioning

confidence: 99%

A Random Dual-Security based An Image Encryption Scheme for IoT

Gupta¹,

Gupta²,

Shukla³

2021

JSR

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Due Nowadays, the demand for IoT-enabled devices is increasing exponentially and the communications between these devices are mostly in the form of color and gray-scale images. In the same sequence, the demand for IoT applications is also increasing, so it is a challenging task to protect the IoT applications from attackers. Therefore, an efficient encryption algorithm is required due to the limitation of IoT-enabled devices in terms of computational complexity and memory. In this work, a novel encryption scheme based on dual security is presented. Here in this work, dual security is used where at one level, the following keys (64 80-bit, and 96-bit) are used, which key size will be used for encryption, is unknown to the user during encryption and decryption. That means for each image, a unique random key size will be used for encryption. While at the second level, a new session key (Key size will be decided at level one) is generated for every image encryption, which increases the security at this level. So this two-level security will reduce the chances of a man-in-middle attack. This scheme uses the hybrid of crossover and logistic map which enhance the randomness in the presented scheme. The strength of the presented encryption scheme is estimated by checking the presented technique on various types of cryptographic attacks such as differential attack (NPCR), statistical attack (correlation analysis, entropy, and histogram analysis), noise attack, and prone to the user secret key. The experimental outcomes show that the presented hybrid scheme is secured enough against different cryptographic attacks.

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An image encryption scheme based on public key cryptosystem and quantum logistic map

Cited by 33 publications

References 59 publications

A Novel Multiband Remote-Sensing Image Encryption Algorithm Based on Dual-Channel Key Transmission Model

A Novel Multiband Remote-Sensing Image Encryption Algorithm Based on Dual-Channel Key Transmission Model

Template Protection Based on Chaotic Map for Finger Vein Recognition

A Random Dual-Security based An Image Encryption Scheme for IoT

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