A color image encryption and decryption scheme based on extended DNA coding and fractional-order 5D hyper-chaotic system

With the advancement of information technology, the security of digital images has become increasingly important. To ensure the integrity of images, this paper presents a novel color image encryption and decryption architecture. Firstly, a fractional-order five-dimensional hyper-chaotic system (F5DH...

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Veröffentlicht in:Expert systems with applications Jg. 254; S. 124413
Hauptverfasser: Meng, Fan-Qi, Wu, Gang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 15.11.2024
Schlagworte:
Blocked encryption method
Extended DNA coding technology
Fractional-order hyper-chaotic system
Image encryption algorithm
Blocked encryption method
Image encryption algorithm
Fractional-order hyper-chaotic system
Extended DNA coding technology
ISSN:0957-4174
Online-Zugang:Volltext
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Zusammenfassung:With the advancement of information technology, the security of digital images has become increasingly important. To ensure the integrity of images, this paper presents a novel color image encryption and decryption architecture. Firstly, a fractional-order five-dimensional hyper-chaotic system (F5DHS) is proposed and used to generate chaotic sequences for permutation and diffusion processes. Secondly, the extended DNA encoding scheme is employed to generate more DNA encoding rules and four DNA computation methods are used to improve the security of the encryption scheme. Thirdly, a blocked image encryption method is designed to divide the color image into sub-blocks and then determine the DNA encoding, DNA decoding and DNA arithmetic rules for each sub-block based on chaotic sequences. Finally, the results of simulation experiments and security analysis show that the color image encryption algorithm has good encryption performance, a large secret key space, and strong robustness to noise and data loss attacks, indicating that the proposed encryption algorithm can effectively protect the secure communication of digital images.
ISSN:0957-4174
DOI:10.1016/j.eswa.2024.124413