Image Encryption Based on Arnold Cat Map and GA Operator

Das, Subhajit; Mondal, Surajit; Sanyal, Manas Kumar

doi:10.1007/978-981-10-7566-7_3

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…The cat map is a two-dimensional invertible chaotic mapping. Cat map has been heavily used in the field of image encryption [11][12][13]. Meanwhile, prior to this paper, cat map was also applied to the gray wolf optimization and cat swarm optimization algorithms [14,15], and the results showed its ability to contribute to population diversity.…”

Section: Cat Map and Opposition-based Learning Design In Odbomentioning

confidence: 99%

An Improved Dung Beetle Optimization Algorithm for High-Dimension Optimization and Its Engineering Applications

Wang,

Kang,

Shen

et al. 2024

Symmetry

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One of the limitations of the dung beetle optimization (DBO) is its susceptibility to local optima and its relatively low search accuracy. Several strategies have been utilized to improve the diversity, search precision, and outcomes of the DBO. However, the equilibrium between exploration and exploitation has not been achieved optimally. This paper presents a novel algorithm called the ODBO, which incorporates cat map and an opposition-based learning strategy, which is based on symmetry theory. In addition, in order to enhance the performance of the dung ball rolling phase, this paper combines the global search strategy of the osprey optimization algorithm with the position update strategy of the DBO. Additionally, we enhance the population’s diversity during the foraging phase of the DBO by incorporating vertical and horizontal crossover of individuals. This introduction of asymmetry in the crossover operation increases the exploration capability of the algorithm, allowing it to effectively escape local optima and facilitate global search.

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Section: Cat Map and Opposition-based Learning Design In Odbomentioning

confidence: 99%

An Improved Dung Beetle Optimization Algorithm for High-Dimension Optimization and Its Engineering Applications

Wang,

Kang,

Shen

et al. 2024

Symmetry

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“…In 2018, Das et al [40] proposed an encryption technique which consists of three stages that uses pseudo random number generator, genetic algorithm and Arnold cat map [41] for image encryption. According to their proposed technique, initially every pixel of the input image is modified by employing crossover and mutation operators of genetic algorithm.…”

Section: Review On Computational Intelligence Based Image Encryptionmentioning

confidence: 99%

Survey on computational intelligence based image encryption techniques

Ramanathan

Hossen

Sayeed

et al. 2020

IJEECS

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Image encryption is an important area in visual cryptography that helps in protecting images when shared through internet. There is lot of cryptography algorithms applied for many years in encrypting images. In the recent years, artificial intelligence techniques are combined with cryptography algorithms to support image encryption. Some of the benefits that artificial intelligence techniques can provide are prediction of possible attacks on cryptosystem using machine learning algorithms, generation of cryptographic keys using optimization algorithms, etc. Computational intelligence algorithms are popular in enhancing security for image encryption. The main computational intelligence algorithms used in image encryption are neural network, fuzzy logic and genetic algorithm. In this paper, a review is done on computational intelligence-based image encryption methods that have been proposed in the recent years and the comparison is made on those methods based on their performance on image encryption.

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Scale invariant digital image encryption using 3D modular chaotic map

Broumandnia

2020

Multimed Tools Appl

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Image Encryption Based on Arnold Cat Map and GA Operator

Cited by 6 publications

References 3 publications

An Improved Dung Beetle Optimization Algorithm for High-Dimension Optimization and Its Engineering Applications

An Improved Dung Beetle Optimization Algorithm for High-Dimension Optimization and Its Engineering Applications

Survey on computational intelligence based image encryption techniques

Scale invariant digital image encryption using 3D modular chaotic map

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