ArticleEntropy (Basel, Switzerland)2018
A Novel Delay Linear Coupling Logistics Map Model for Color Image Encryption.
Article in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- A Novel Image Encryption Scheme Based on Elliptic Curves over Finite Rings.Entropy (Basel, Switzerland) · 2022Article
- A Novel Five-Dimensional Three-Leaf Chaotic Attractor and Its Application in Image Encryption.Entropy (Basel, Switzerland) · 2020Article
- A Blockchain-Based Secure Image Encryption Scheme for the Industrial Internet of Things.Entropy (Basel, Switzerland) · 2020Article
- Suggested Integral Analysis for Chaos-Based Image Cryptosystems.Entropy (Basel, Switzerland) · 2019Article
- An Image Encryption Scheme Based on Block Scrambling, Modified Zigzag Transformation and Key Generation Using Enhanced Logistic-Tent Map.Entropy (Basel, Switzerland) · 2019Article
- Three Techniques for Enhancing Chaos-Based Joint Compression and Encryption Schemes.Entropy (Basel, Switzerland) · 2019Article
- An Image Encryption Algorithm Based on Time-Delay and Random Insertion.Entropy (Basel, Switzerland) · 2018Article
- Double Quantum Image Encryption Based on Arnold Transform and Qubit Random Rotation.Entropy (Basel, Switzerland) · 2018Article
- Research Frontier in Chaos Theory and Complex Networks.Entropy (Basel, Switzerland) · 2018Article
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5 authors.
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Abstract
With the popularity of the Internet, the transmission of images has become more frequent. It is of great significance to study efficient and secure image encryption algorithms. Based on traditional Logistic maps and consideration of delay, we propose a new one-dimensional (1D) delay and linearly coupled Logistic chaotic map (DLCL) in this paper. Time delay is a common phenomenon in various complex systems in nature, and it will greatly change the dynamic characteristics of the system. The map is analyzed in terms of trajectory, Lyapunov exponent (LE) and Permutation entropy (PE). The results show that this map has wide chaotic range, better ergodicity and larger maximum LE in comparison with some existing chaotic maps. A new method of color image encryption is put forward based on DLCL. In proposed encryption algorithm, after various analysis, it has good encryption performance, and the key used for scrambling is related to the original image. It is illustrated by simulation results that the ciphered images have good pseudo randomness through our method. The proposed encryption algorithm has large key space and can effectively resist differential attack and chosen plaintext attack.
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