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Digital Image Encryption Algorithm Based on Double Chaotic Map and LSTM

Luoyin Feng1,*, Jize Du2, Chong Fu1

1 School of Computer Science and Engineering, Northeastern University, Shenyang, 110819, China
2 School of Electrical Engineering and Computer Science, University of Missouri, Missouri, 65201, USA

* Corresponding Author: Luoyin Feng. Email: email

(This article belongs to the Special Issue: Advanced Implications of Fuzzy Logic Evolutionary Computation)

Computers, Materials & Continua 2023, 77(2), 1645-1662.


In the era of network communication, digital image encryption (DIE) technology is critical to ensure the security of image data. However, there has been limited research on combining deep learning neural networks with chaotic mapping for the encryption of digital images. So, this paper addresses this gap by studying the generation of pseudo-random sequences (PRS) chaotic signals using dual logistic chaotic maps. These signals are then predicted using long and short-term memory (LSTM) networks, resulting in the reconstruction of a new chaotic signal. During the research process, it was discovered that there are numerous training parameters associated with the LSTM network, which can hinder training efficiency. To overcome this challenge and improve training efficiency, the paper proposes an improved particle swarm optimization (IPSO) algorithm to optimize the LSTM network. Subsequently, the obtained chaotic signal from the optimized model training is further scrambled, obfuscated, and diffused to achieve the final encrypted image. This research presents a digital image encryption (DIE) algorithm based on a double chaotic map (DCM) and LSTM. The algorithm demonstrates a high average NPCR (Number of Pixel Change Rate) of 99.56% and a UACI (Unified Average Changing Intensity) value of 33.46%, indicating a strong ability to resist differential attacks. Overall, the proposed algorithm realizes secure and sensitive digital image encryption, ensuring the protection of personal information in the Internet environment.


Cite This Article

APA Style
Feng, L., Du, J., Fu, C. (2023). Digital image encryption algorithm based on double chaotic map and LSTM. Computers, Materials & Continua, 77(2), 1645-1662.
Vancouver Style
Feng L, Du J, Fu C. Digital image encryption algorithm based on double chaotic map and LSTM. Comput Mater Contin. 2023;77(2):1645-1662
IEEE Style
L. Feng, J. Du, and C. Fu "Digital Image Encryption Algorithm Based on Double Chaotic Map and LSTM," Comput. Mater. Contin., vol. 77, no. 2, pp. 1645-1662. 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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