A hybrid image encryption algorithm using chaos and Conway's game‐of‐life cellular automata

Murugan, B. S.; Gounder, Ammasai Gounden Nanjappa; Manohar, Sriram

doi:10.1002/sec.1386

Cited by 16 publications

(6 citation statements)

References 29 publications

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“…This improves the values of the various measures. Through the studies [20] and [36], we conclude here that the current trend is to use hyper chaotic with CA or double, triple or quadruple-directional chaotic to achieve the best results.…”

Section: Cellular Automata With Chaotic Mapmentioning

confidence: 79%

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Chaotic Image Cryptography Systems: A Review

Khaleel¹,

Abduljaleel²

2021

sjpas

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In recent decades, image encryption has been a popular and important field of research. The image encryption techniques have been studied thoroughly to ensure the safety of digital images on transmission through the networks. A large range of algorithms for chaotic-based cryptographic systems has been suggested and submitted to enhance the efficiency of the encryption methods. The chaotic map is one technique to guarantee security. The benefits of chaotic image encryption include the fact that it is simple to implement; it has a faster encryption speed, and it is powerful against attacks. Due to their extreme sensitivity to initial conditions, unpredictability, and random-like behaviours, many image encryption systems using chaotic maps have been proposed. This study paper presents a scientific review of many types of researches during the (2014-2020) years that used chaotic with its various types (one-dimensional, multi-dimensional, or hyper-chaotic) to process the digital images in the encryption stage or the scrambling phase. Furthermore, it presents a future reading of researches that has a wider role in developing the cryptography field by improving the efficiency of Algorithms where using a chaotic map with other methods gives better results than using chaotic alone in scrambling and encryption methods.

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Section: Cellular Automata With Chaotic Mapmentioning

confidence: 79%

“…In [20], a new image encryption method was proposed consisting of both phases of permutation and diffusion using the chaotic map with the cellular automata of Conway's game, and the equation of the Chebyshev map with Lorenz sequentially. [21] suggested a quick, and efficient cryptosystem-based chaotic structure.…”

Section: Chaotic Image Cryptography Systems 2015mentioning

confidence: 99%

Chaotic Image Cryptography Systems: A Review

Khaleel¹,

Abduljaleel²

2021

sjpas

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“…Yang et al [63] proposed an encryption approach for grayscale images based on 1D quantum cellular automata. Murugan et al [64] designed an image encryption approach by combining chaos and cellular automata. Logistic map and Conway's game-of-life cellular automata are utilized in the permutation process and the Chebyshev map and Lorenz equation are utilized for diffusion.…”

Section: Cellular Automata-based Image Encryptionmentioning

confidence: 99%

Computational Image Encryption Techniques: A Comprehensive Review

Kaur

Singh

Kaur

2021

Mathematical Problems in Engineering

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Images contain very sensitive and confidential information. Because images play a significant role in many applications such as military communication, remote-sensing, and medical-imaging, therefore, it is necessary to protect sensitive and confidential information from unauthorized use and modification. To achieve this objective, encryption is one of the best methods among the information hiding methods. In recent years, many image encryption approaches are designed by the researchers. They use different concepts for image encryption to increase security. The main aim of this paper is to present a comprehensive review of the existing image encryption approaches. These approaches are categorized based on different concepts such as chaotic maps, DNA, compressive sensing, and optical image encryption. Comparisons are made among the existing approaches to access the various security parameters. Key performance metrics are also presented. The future scope of image encryption is also presented to encourage the research community.

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“…Logistic map [25][26][27] is one of the important and practical chaotic motions and has been widely used in data encryption [28][29][30][31][32]. The equation of the logistic map is shown as…”

Section: Preliminaries Chaos Theorymentioning

confidence: 99%

Privacy-Preserving Sorting Algorithms Based on Logistic Map for Clouds

Dai

Ren

Chen

et al. 2018

Security and Communication Networks

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Outsourcing data in clouds is adopted by more and more companies and individuals due to the profits from data sharing and parallel, elastic, and on-demand computing. However, it forces data owners to lose control of their own data, which causes privacy-preserving problems on sensitive data. Sorting is a common operation in many areas, such as machine learning, service recommendation, and data query. It is a challenge to implement privacy-preserving sorting over encrypted data without leaking privacy of sensitive data. In this paper, we propose privacy-preserving sorting algorithms which are on the basis of the logistic map. Secure comparable codes are constructed by logistic map functions, which can be utilized to compare the corresponding encrypted data items even without knowing their plaintext values. Data owners firstly encrypt their data and generate the corresponding comparable codes and then outsource them to clouds. Cloud servers are capable of sorting the outsourced encrypted data in accordance with their corresponding comparable codes by the proposed privacy-preserving sorting algorithms. Security analysis and experimental results show that the proposed algorithms can protect data privacy, while providing efficient sorting on encrypted data.

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A hybrid image encryption algorithm using chaos and Conway's game‐of‐life cellular automata

Cited by 16 publications

References 29 publications

Chaotic Image Cryptography Systems: A Review

Chaotic Image Cryptography Systems: A Review

Computational Image Encryption Techniques: A Comprehensive Review

Privacy-Preserving Sorting Algorithms Based on Logistic Map for Clouds

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