Evidence map›Paper›PMID 37420352›Full record

ArticleEntropy (Basel, Switzerland)2022

Design and Embedded Implementation of Secure Image Encryption Scheme Using DWT and 2D-LASM.

Heping Wen, Zefeng Chen, Jiehong Zheng, Yiming Huang, Shuwei Li, Linchao Ma, Yiting Lin, Zhen Liu, Rui Li, Linhao Liu and 4 more

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Heping WenSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.ORCID 0000-0002-1178-4598
Zefeng ChenSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Jiehong ZhengSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Yiming HuangSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Shuwei LiSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Linchao MaSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Yiting LinSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.ORCID 0000-0003-4159-3132
Zhen LiuSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Rui LiSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Linhao LiuSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Wenxing LinSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Jieyi YangSchool of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
Chongfu ZhangSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Huaide YangSchool of Electronic Information, Dongguan Polytechnic, Dongguan 523808, China.

Funding

National Science Foundation of China under Grant 62071088
6 · The paper itself

Abstract

In order to further improve the information effectiveness of digital image transmission, an image-encryption algorithm based on 2D-Logistic-adjusted-Sine map (2D-LASM) and Discrete Wavelet Transform (DWT) is proposed. First, a dynamic key with plaintext correlation is generated using Message-Digest Algorithm 5 (MD5), and 2D-LASM chaos is generated based on the key to obtain a chaotic pseudo-random sequence. Secondly, we perform DWT on the plaintext image to map the image from the time domain to the frequency domain and decompose the low-frequency (LF) coefficient and high-frequency (HF) coefficient. Then, the chaotic sequence is used to encrypt the LF coefficient with the structure of "confusion-permutation". We perform the permutation operation on HF coefficient, and we reconstruct the image of the processed LF coefficient and HF coefficient to obtain the frequency-domain ciphertext image. Finally, the ciphertext is dynamically diffused using the chaotic sequence to obtain the final ciphertext. Theoretical analysis and simulation experiments show that the algorithm has a large key space and can effectively resist various attacks. Compared with the spatial-domain algorithms, this algorithm has great advantages in terms of computational complexity, security performance, and encryption efficiency. At the same time, it provides better concealment of the encrypted image while ensuring the encryption efficiency compared to existing frequency-domain methods. The successful implementation on the embedded device in the optical network environment verifies the experimental feasibility of this algorithm in the new network application.

Indexed as

DWTfrequency-domain analysisimage encryption

Identifiers

PMID37420352
PMCPMC9600562

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.