Symmetric keys image encryption and decryption using 3D chaotic maps with DNA encoding technique

Patel, Sakshi; Bharath, Karthik; M, Rajesh Kumar

doi:10.1007/s11042-020-09551-9

Cited by 43 publications

(19 citation statements)

References 17 publications

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“…In their proposed approach, they have used the rand function instead of a logistic map and the security of the proposed algorithm is evaluated by testing the impact of several attacks on it. [ 40 ] proposed another method which involves a 3D chaotic logistic map as well as DNA encoding and it is used for confusion and diffusion of image pixels. In addition, they [ 40 ] have used three symmetric keys at the initial condition of the logistic map, which enables the algorithm to provide more security.…”

Section: Related Workmentioning

confidence: 99%

“…[ 40 ] proposed another method which involves a 3D chaotic logistic map as well as DNA encoding and it is used for confusion and diffusion of image pixels. In addition, they [ 40 ] have used three symmetric keys at the initial condition of the logistic map, which enables the algorithm to provide more security. The 32-bit ASCII keys are used in symmetric keys, Chebyshev chaotic key, and prime key.…”

Section: Related Workmentioning

confidence: 99%

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Time Efficient Image Encryption-Decryption for Visible and COVID-19 X-ray Images Using Modified Chaos-Based Logistic Map

Bhattacharjee

Gupta

Chatterjee

2022

Appl Biochem Biotechnol

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In this pandemic situation, radiological images are the biggest source of information in healthcare and, at the same time, one of the foremost troublesome sources to analyze. Clinicians now-a-days must depend to a great extent on therapeutic image investigation performed by exhausted radiologists and some of the time analyzed and filtered themselves. Due to an overflow of patients, transmission of these medical data becomes frequent and maintaining confidentiality turns out to be one of the most important aspects of security along with integrity and availability. Chaos-based cryptography has proven a useful technique in the process of medical image encryption. The specialty of using chaotic maps in image security is its capability to increase the unpredictability and this causes the encryption robust. There are large number of literature available with chaotic map; however, most of these are not useful in low-precision devices due to their time-consuming nature. Taking into consideration of all these facts, a modified encryption technique is proposed for 2D COVID-19 images without compromising security. The novelty of the encryption procedure lies in the proposed design which is split into mainly three parts. In the first part, a variable length gray level code is used to generate the secret key to confuse the intruder and subsequently it is used as the initial parameter of both the chaotic maps. In the second part, one-stage image pixels are shuffled using the address code obtained from the sorting transformation of the first logistic map. In the final stage, a complete diffusion is applied for the whole image using the second chaotic map to counter differential and statistical attack. Algorithm validation is done by experimentation with visual image and COVID-19 X-ray images. In addition, a quantitative analysis is carried out to ensure a negligible data loss between the original and the decrypted image. The strength of the proposed method is tested by calculating the various security parameters like correlation coefficient, NPCR, UACI, and key sensitivity. Comparison analysis shows the effectiveness for the proposed method. Implementation statistics shows time efficiency and proves more security with better unpredictability.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Time Efficient Image Encryption-Decryption for Visible and COVID-19 X-ray Images Using Modified Chaos-Based Logistic Map

Bhattacharjee

Gupta

Chatterjee

2022

Appl Biochem Biotechnol

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“…Almost, the strength of the encryption algorithm comes from the power of the key generation, so the [13] focused on the improvement of the PRNG of the encryption algorithm when XOR function as an aggregator for three four-wing memristive hyperchaotic systems. The proposed method in [14] generates initial conditions using 3D logistic maps, thus, these conditions are used to scramble the image, then the encryption key is generated by another 3D logistic map, and the XORing operation is done after converting the image into DNA representation. A combination of quasigroups and the chaotic standard map has been proposed in [15] to overcome the shortage of key-space, the algorithm achieved both substitution procedures by quasigroup of order 256, and the permutation procedure is done by the standard chaotic map.…”

Section: Related Workmentioning

confidence: 99%

“…An extended version of the 1D logistic map with complex chaotic behaviour and more initial and control parameters could be a better choice to make it at the core of PRNG, this map was presented in [14,19], described as follows:…”

Section: D Generalized Logistic Map (3d-glm)mentioning

confidence: 99%

New Pseudo-Random Key Generator for IoT-security Model Based on a Novel 3D Coupled Map Lattice

2022

IJIES

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In cryptography fields, one concern is the consideration of the capacity of the resource, especially, in environments that run IoT devices. This paper presents a lightweight and comprehensive security system, which involves a novel Pseudo-Random Number Generator (PRNG) based on a novel 3D Coupled Map Lattice system (3D-CML) as a chaotic system that is more practical in cryptography, and encryption algorithms depend on two security levels, firstly, permuting the plain image using a standard 2D Henon chaotic map, then, encrypt it by a One-Time Symmetric Key (OTSK). The bifurcation diagram of the 3D-CML shows that the chaotic parameters have been extended in their ranges, this feature has a positive effect on the key-space size which its size equal to 2^373. From another aspect, with fewer iteration configurations, all random sequences that are produced by the proposed PRNG have passed all statistical tests of the NIST suite, in turn, this configuration would lower the run-time, hence decreasing the computational effort as a response to the requirements of limited-resources environments, such as IoT. Several assessment metrics, such as Mutual Information, Gray Difference Degree, Histogram, Chi-square, Correlation Coefficient, Entropy, and more, confirmed that the proposed algorithms can be robust in dissolving the internal characteristics in the original image for producing an encryption image, resulting in strong resistance against any cyberattacks.

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“…A novel encryption algorithm that depended on a new S-Box and logistic-sine system (LSS) has been proposed in [22]. [23] used a 3D chaotic logistic map with DNA encoding to suggest an image encryption approach. A new form of encryption was proposed by [24] based on keys derived from DNA and plaintext image.…”

Section: Introductionmentioning

confidence: 99%

An Image Encryption Algorithm Based on Bisection Method and One-Dimensional Piecewise Chaotic Map

et al. 2021

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Symmetric keys image encryption and decryption using 3D chaotic maps with DNA encoding technique

Cited by 43 publications

References 17 publications

Time Efficient Image Encryption-Decryption for Visible and COVID-19 X-ray Images Using Modified Chaos-Based Logistic Map

Time Efficient Image Encryption-Decryption for Visible and COVID-19 X-ray Images Using Modified Chaos-Based Logistic Map

New Pseudo-Random Key Generator for IoT-security Model Based on a Novel 3D Coupled Map Lattice

An Image Encryption Algorithm Based on Bisection Method and One-Dimensional Piecewise Chaotic Map

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