Differential evolution optimization of intertwining logistic map-DNA based image encryption technique

Dua, Mohit; Wesanekar, Aishwarya; Gupta, Vaibhav Kumar; Bhola, Mayank; Dua, Shelza

doi:10.1007/s12652-019-01580-z

Cited by 41 publications

(26 citation statements)

References 52 publications

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“…Researchers have combined chaotic maps with various techniques such as cellular automata, optimization methods and DNA encoding to propose secure and efficient image encryption techniques. Two of such methods have been proposed in [20,21]. The authors in [21], combined Differential optimization with ILM to propose a faster and secure method, and the authors in [20] used cosine-based transformation to overcome limitation of one-dimensional chaos maps.…”

Section: Comparison With Existing Approachesmentioning

confidence: 99%

“…Two of such methods have been proposed in [20,21]. The authors in [21], combined Differential optimization with ILM to propose a faster and secure method, and the authors in [20] used cosine-based transformation to overcome limitation of one-dimensional chaos maps. Motivated by these works, the method proposed in this paper combines ILM and cosine transformation to achieve target of secure and efficient image encryption.…”

Section: Comparison With Existing Approachesmentioning

confidence: 99%

“…Motivated by these works, the method proposed in this paper combines ILM and cosine transformation to achieve target of secure and efficient image encryption. Table 5 describes the comparison of the proposed technique with the works proposed in [20,21].…”

Section: Comparison With Existing Approachesmentioning

confidence: 99%

“…The motivation for work of this paper is the approaches proposed in [18][19][20][21], and the implemented work is an extension to these works. In 2017, a solution to conquer the limitations of the LM was proposed using intertwining logistic map (ILM) [18].…”

Section: Introductionmentioning

confidence: 99%

“…This chaotic sequence was combined with high-efficiency scrambling and random order substitution to achieve a secure image encryption technique. Also in 2019, the authors used differential evolution (DE) optimization with ILM and SHA-256 combination to obtain an efficient image encryption algorithm [21].…”

Section: Introductionmentioning

confidence: 99%

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An ILM-cosine transform-based improved approach to image encryption

Dua

Suthar

Garg

et al. 2020

Complex Intell. Syst.

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The chaos-based cryptography techniques are used widely to protect digital information from intruders. The chaotic systems have some of special features that make them suitable for the purpose of encryption. These systems are highly unpredictable and are highly sensitive or responsive to the initial conditions, also known as butterfly effect. This sensitive dependence on initial conditions make these systems to exhibit an intricate dynamical behaviour. However, this dynamical behaviour is not much complex in simple one-dimensional chaotic maps. Hence, it becomes easy for an intruder to predict the contents of the message being sent. The proposed work in this paper introduces an improved method for encrypting images, which uses cosine transformation of 3-D Intertwining Logistic Map (ILM). The proposed approach has been split into three major parts. In the first part, Secure Hash Function-256 (SHA-256) is used with cosine transformed ILM (CT-ILM) to generate the chaotic sequence. This chaotic sequence is used by high-efficiency scrambling to reduce the correlations between the adjacent pixels of the image. In the second part, the image is rotated to move all the pixels away from their original position. In the third part, random order substitution is applied to change the value of image pixels. The effectiveness of the proposed method has been tested on a number of standard parameters such as correlation coefficient, Entropy and Unified average change in intensity. The proposed approach has also been tested for decryption parameters like mean square error and peak signal to noise ratio. It can easily be observed from the obtained results that the proposed method of image encryption is more secure and time efficient than some earlier proposed techniques. The approach works for both color and grey scale images.

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