Luoyin Feng1,*, Jize Du2, Chong Fu1
CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1645-1662, 2023, DOI:10.32604/cmc.2023.042630
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… More >
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