Evidence map›Paper›PMID 37542682›Full record

ArticleMedical & biological engineering & computing2023

A variable dimensional chaotic map-based medical image encryption algorithm with multi-mode.

Bin Zhang, Bahbibi Rahmatullah, Shir Li Wang, Haifa Matar Almutairi, Yan Xiao, Xinjuan Liu, Zhaoyan Liu

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Article in Medical & biological engineering & computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Medical Image Encryption Using Chaotic Mechanisms: A Study.Bioengineering (Basel, Switzerland) · 2025
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bin ZhangSchool of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
Bahbibi RahmatullahData Intelligence and Knowledge Management (DILIGENT), Faculty of Computing and Meta-Technology, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia. bahbibi@meta.upsi.edu.my.ORCID http://orcid.org/0000-0002-6920-8112
Shir Li WangData Intelligence and Knowledge Management (DILIGENT), Faculty of Computing and Meta-Technology, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia.
Haifa Matar AlmutairiMedical Physics Department, Umm Al-Qura University, Mecca, Saudi Arabia.
Yan XiaoSchool of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
Xinjuan LiuSchool of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
Zhaoyan LiuSchool of Cyber Engineering, Xidian University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the COVID-19 pandemic, telemedicine or non-face-to-face medicine has increased significantly. In practice, various types of medical images are essential to achieve effective telemedicine. Medical image encryption algorithms play an irreplaceable role in the fast and secure transmission and storage of these medical images. However, most of the existing medical image encryption algorithms are full encryption algorithms, which are inefficient and time-consuming, so they are not suitable for emergency medical scenarios. To improve the efficiency of encryption, a small number of works have focused on partial or selective encryption algorithms for medical images, in which different levels of encryption strategies were adopted for different information content regions of medical images. However, these encryption algorithms have inadequate security more or less. In this paper, based on the Logistic map, we designed an improved variable dimension map. Then, an encryption algorithm for medical images was proposed based on it. This algorithm has two modes: (1) full encryption mode and (2) semi-full encryption mode, which can better adapt to different medical scenarios, respectively. In full encryption mode, all pixels of medical images are encrypted by using the confusion-diffusion structure. In semi-full encryption mode, the region of interest of medical images is extracted. The confusion was first adopted to encrypt the region of interest, and then, the diffusion was adopted to encrypt the entire image. In addition, no matter which encryption mode is used, the algorithm provides the function of medical image integrity verification. The proposed algorithm was simulated and analyzed to evaluate its effectiveness. The results show that in semi-full encryption mode, the algorithm has good security performance and lower time consumption; while in full encryption mode, the algorithm has better security performance and is acceptable in time.

Indexed as

Computer SecurityDiagnostic ImagingTelemedicineAlgorithmsCOVID-19HumansPandemicsChaotic mapCOVID-19Medical image encryptionSelective/partial encryption

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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.