Research on image encryption algorithm based on hyper chaotic Lorenz system and wavelet transform

In this paper, a color image encryption algorithm based on hyper chaotic Lorenz system and discrete wavelet transform is proposed. The algorithm generates a chaotic sequence using a four-dimensional hyper chaotic Lorenz system and encrypts the image by combining with a two-dimensional Haar wavelet transform. The randomness and security of the image are effectively enhanced by wavelet decomposition, chaotic sequence encryption and bitwise dissimilarity operation. The experimental results show that the encrypted image has a uniform histogram, the information entropy is close to the ideal value of 8, and the correlation of adjacent pixels is significantly reduced, which can effectively resist the information entropy attack and correlation analysis attack. The algorithm performs well in terms of security, randomness and efficiency, and provides a reliable solution for the secure storage and transmission of image data.

Authors

Institutions

Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/asens64990.2025.11011082
Citations
1
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on image encryption algorithm based on hyper chaotic Lorenz system and wavelet transform

Yuheng Lu, Xubin Ma, Zhaojun Han, Wenru Wang et al.
1 citations
Chaos-based Image/Signal Encryption
1.28
article

Research on image encryption algorithm based on hyper chaotic Lorenz system and wavelet transform

Yuheng Lu, Xubin Ma, Zhaojun Han, Wenru Wang, Xuebin Ren, Zhibo Wen, Zihao Li, Yujie Zhang
article en
1 citations

Abstract

In this paper, a color image encryption algorithm based on hyper chaotic Lorenz system and discrete wavelet transform is proposed. The algorithm generates a chaotic sequence using a four-dimensional hyper chaotic Lorenz system and encrypts the image by combining with a two-dimensional Haar wavelet transform. The randomness and security of the image are effectively enhanced by wavelet decomposition, chaotic sequence encryption and bitwise dissimilarity operation. The experimental results show that the encrypted image has a uniform histogram, the information entropy is close to the ideal value of 8, and the correlation of adjacent pixels is significantly reduced, which can effectively resist the information entropy attack and correlation analysis attack. The algorithm performs well in terms of security, randomness and efficiency, and provides a reliable solution for the secure storage and transmission of image data.

Dalian Polytechnic University (CN)
Openalex Percentile: Top 20%
Chaos-based Image/Signal Encryption
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.