ArticleEntropy (Basel, Switzerland)2019
A Novel Image Encryption Approach Based on a Hyperchaotic System, Pixel-Level Filtering with Variable Kernels, and DNA-Level Diffusion.
Article in Entropy (Basel, Switzerland), 2019. 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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Who cites it
9 citing papers in PubMed.
- Chaotic Color Image Encryption Based on Eight-Base DNA-Level Permutation and Diffusion.Entropy (Basel, Switzerland) · 2023Article
- Design and Embedded Implementation of Secure Image Encryption Scheme Using DWT and 2D-LASM.Entropy (Basel, Switzerland) · 2022Article
- Improved CEEMDAN, GA, and SVR Model for Oil Price Forecasting.Journal of environmental and public health · 2022Article
- Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion.Entropy (Basel, Switzerland) · 2021Article
- Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation.Entropy (Basel, Switzerland) · 2021Article
- Entropy in Image Analysis II.Entropy (Basel, Switzerland) · 2020Article
- The Establishment and Dynamic Properties of a New 4D Hyperchaotic System with Its Application and Statistical Tests in Gray Images.Entropy (Basel, Switzerland) · 2020Article
- A Novel Color Image Encryption Algorithm Based on Hyperchaotic Maps and Mitochondrial DNA Sequences.Entropy (Basel, Switzerland) · 2020Article
- Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting.Entropy (Basel, Switzerland) · 2020Article
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Authors and funding
3 authors.
Funding
Abstract
With the rapid growth of image transmission and storage, image security has become a hot topic in the community of information security. Image encryption is a direct way to ensure image security. This paper presents a novel approach that uses a hyperchaotic system, Pixel-level Filtering with kernels of variable shapes and parameters, and DNA-level Diffusion, so-called PFDD, for image encryption. The PFDD totally consists of four stages. First, a hyperchaotic system is applied to generating hyperchaotic sequences for the purpose of subsequent operations. Second, dynamic filtering is performed on pixels to change the pixel values. To increase the diversity of filtering, kernels with variable shapes and parameters determined by the hyperchaotic sequences are used. Third, a global bit-level scrambling is conducted to change the values and positions of pixels simultaneously. The bit stream is then encoded into DNA-level data. Finally, a novel DNA-level diffusion scheme is proposed to further change the image values. We tested the proposed PFDD with 15 publicly accessible images with different sizes, and the results demonstrate that the PFDD is capable of achieving state-of-the-art results in terms of the evaluation criteria, indicating that the PFDD is very effective for image encryption.
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