Entropy · 2020 · 94 citations · 26 references
ComputingComputer ScienceInformation TechnologyComputer SecurityCryptographySecurity ArchitectureChaos TheoryCryptographic AlgorithmsData EncryptionAlterationChaotic MapsEncryptionEncryption AlgorithmsHybrid Encryption SchemesKey SensitivityMedia TypesSecure Data Transmission
Chaos-based encryption has shown an increasingly important and dominant role in modern multimedia cryptography compared with traditional algorithms. This work proposes novel chaotic-based multimedia encryption schemes utilizing 2D alteration models for high secure data transmission. A novel perturbation-based data encryption for both confusion and diffusion rounds is proposed. Our chaotification structure is hybrid, in which multiple maps are combined combines for media encryption. Blended chaotic maps are used to generate the control parameters for the permutation (shuffling) and diffusion (substitution) structures. The proposed schemes not only maintain great encryption quality reproduced by chaotic, but also possess other advantages, including key sensitivity and low residual clarity. Extensive security and differential analyses documented that the proposed schemes are efficient for secure multimedia transmission as well as the encrypted media possesses resistance to attacks. Additionally, statistical evaluations using well-known metrics for specific media types, show that proposed encryption schemes can acquire low residual intelligibility with excessive nice recovered statistics. Finally, the advantages of the proposed schemes have been highlighted by comparing it against different state-of-the-art algorithms from literature. The comparative performance results documented that our schemes are extra efficacious than their data-specific counterpart methods.
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Image encryption using 2D Hénon-Sine map and DNA approach
Jiahui Wu, Xiaofeng Liao, Bo Yang · Signal Processing · 2018 · 424 citations
A new hybrid digital chaotic system with applications in image encryption
Moatsum Alawida, Azman Samsudin, Je Sen Teh et al. · Signal Processing · 2019 · 395 citations · Full text
Natural Sciences, Computer Science, Electrical Engineering +14