Open Access
ARTICLE
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:
(This article belongs to the Special Issue: Advanced Implications of Fuzzy Logic Evolutionary Computation)
Computers, Materials & Continua 2023, 77(2), 1645-1662. https://doi.org/10.32604/cmc.2023.042630
Received 06 June 2023; Accepted 24 August 2023; Issue published 29 November 2023
Abstract
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.
Keywords
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. https://doi.org/10.32604/cmc.2023.042630
Vancouver Style
Feng L, Du J, Fu C. Digital image encryption algorithm based on double chaotic map and LSTM. Computers Materials Continua . 2023;77(2):1645-1662 https://doi.org/10.32604/cmc.2023.042630
IEEE Style
L. Feng, J. Du, and C. Fu "Digital Image Encryption Algorithm Based on Double Chaotic Map and LSTM," Computers Materials Continua , vol. 77, no. 2, pp. 1645-1662. 2023. https://doi.org/10.32604/cmc.2023.042630