ArticleEntropy (Basel, Switzerland)2021
An Image Encryption Algorithm Using Logistic Map with Plaintext-Related Parameter Values.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Decrypting chaotic visual ciphers via quasi quantum neural networks (Q²NNs).Scientific reports · 2026Article
- Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices.Entropy (Basel, Switzerland) · 2025Article
- Multi-Image Encryption Algorithm Based on Cascaded Modulation Chaotic System and Block-Scrambling-Diffusion.Entropy (Basel, Switzerland) · 2022Article
- Security Analysis of the Image Encryption Algorithm Based on a Two-Dimensional Infinite Collapse Map.Entropy (Basel, Switzerland) · 2022Article
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3 authors.
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Abstract
This paper deals with a plaintext-related image encryption algorithm that modifies the parameter values used by the logistic map according to plain image pixel intensities. The parameter values are altered in a row-wise manner, which enables the usage of the same procedure also during the decryption. Furthermore, the parameter modification technique takes into account knowledge about the logistic map, its fixed points and possible periodic cycles. Since the resulting interval of parameter values achieves high positive values of Lyapunov exponents, the chaotic behavior of the logistic map should be most pronounced. These assumptions are verified by a set of experiments and the obtained numerical values are compared with those reported in relevant papers. It is found that the proposed design that uses a simpler, but well-studied, chaotic map with mitigated issues obtains results comparable with algorithms that use more complex chaotic systems. Moreover, the proposed solution is much faster than other approaches with a similar purpose.
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