An Encryption Scheme Based on Discrete Quantum Map and Continuous Chaotic System

Alghafis, Abdullah; Munir, Noor; Khan, Majid; Hussain, Iqtadar

doi:10.1007/s10773-020-04402-7

Cited by 43 publications

(17 citation statements)

References 20 publications

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“…According to Table 4, the correlation coefficients for the original images are close to 1, but those for the ciphered images are very close to 0, which means the correlativeness shared between adjacent pixels is extremely rare. −0.0082 0.0118 −0.0012 [49] 0.0019 0.0014 −0.0028 [50] 0.0032 0.0015 −0.0018 [51] −0.0022 −0.0010 0.0005 [52] −0.0031 0.0027 0.00011…”

Section: Correlation Factor Analysismentioning

confidence: 99%

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Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

2021

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Security standards have been raised through modern multimedia communications technology, which allows for enormous progress in security. Modern multimedia communication technologies are concerned with fault tolerance technique and information security. As a primary method, there is widespread use of image encryption to protect image information security. Over the past few years, image encryption has paid more attention to combining DNA technologies in order to increase security. The objective here is to provide a new method for correcting color image encryption errors due to the uncertainty of DNA computing by using the fractional order hyperchaotic Lorenz system. To increase randomness, the proposed cryptosystem is applied to the three plain image channels: Red, Green, and Blue. Several methods were compared including the following: entropy, correlation, key sensitivity, key space, data loss attacks, speed computation, Number of Pixel changing rate (NPCR), and Unified Average Change Intensity randomness (UACI) tests. Consequently, the proposed scheme is very secure against a variety of cryptographic attacks.

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Section: Correlation Factor Analysismentioning

confidence: 99%

“…According to Table 6, the proposed algorithm is also better than other algorithms for NPCR and UACI for Lena images. [48] 99.6051 33.4294 [49] 99.6218 33.4809 [50] 99.6164 33.4650 [51] 99.2975 33.4999 [52] 99.1507 33.4380…”

Section: Plaintext Senstivitymentioning

confidence: 99%

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

2021

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“…Musheer et al [17] used Particle Swarm Optimization for secure nonlinear component development. The S-boxes have also been used by many researchers in image encryption applications [18][19][20][21][22][23][24][25][26]. In [27] authors presented a 2D modular chaotification system for improving the complexity of chaos.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalysis of Novel Image Encryption Scheme Based on Multiple Chaotic Substitution Boxes

et al. 2021

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In current years many chaos-based Substitution boxes (S-boxes) have been proposed. Recently, an image encryption technique based on multiple chaotic S-box was offered. This encryption method was based on the concept of confusion only produced by the implementation of the S-box. The concept of confusion utilized in the understudy technique can be smashed by using just one chosen-plaintext attack and a chosen-ciphertext attack. This article presents a detailed structure of two types of cryptographic attacks on the diffusion-based encryption scheme. The proposed attacks are successfully performed to retrieve the key with very little execution time by using just one chosen image which indicates the vulnerability of multiple chaotic S-boxes-based cryptosystems. The retrieved data is passed through some statistical analysis such as correlation, histogram, and entropy to check the correctness of recovered data.

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“…Hence, researchers have offered numerous efficient image encryption techniques [5][6][7][8][9] based on various concepts and purposes. Chaos-based cryptography has been widely utilized for image encryption nowadays [10][11][12]. Chaos is considered a secure source of producing randomness in uniform data.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalysis of Internet of Health Things Encryption Scheme Based on Chaotic Maps

et al. 2021

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Many encryption algorithms are designed to decrease the probability of cyberattacks by assuring data security as well as system and participant authentication. However, in the development of computer resources cryptanalytical techniques have been developed and performed competitively in information security with good results. In this paper, we reported security flaws in the recently offered encryption technique based on a chaotic map for Internet of Health Things (IoHT) security. The scheme was based on a new chaotic map, modified Mandelbrot set, and conditional shift algorithm asserting the encryption algorithm is secure. We have performed some cryptographic attacks to retrieve the key from the understudy cryptosystem. The key was retrieved in little computation by using a chosen-plaintext attack and one known plaintext ciphertext pair. The minimum execution time of performed attacks indicates the vulnerability of the diffusion-based encryption algorithm. To enhance the security of the understudy cryptographic algorithm, we have also suggested certain improvements. INDEX TERMSChaotic map, Chosen-plaintext attack, Conditional shift, Cryptanalysis, Internet of Health Things, Known-plaintext attack.

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An Encryption Scheme Based on Discrete Quantum Map and Continuous Chaotic System

Cited by 43 publications

References 20 publications

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

Cryptanalysis of Novel Image Encryption Scheme Based on Multiple Chaotic Substitution Boxes

Cryptanalysis of Internet of Health Things Encryption Scheme Based on Chaotic Maps

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