Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.5K
Computed Tomography01:10

Computed Tomography

7.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.6K
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

1.8K
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
1.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO.

Scientific reports·2026
Same author

Modified Z-algorithms for reckoning fixed points with application to nonlinear integral equations.

PloS one·2026
Same author

An explainable AI framework for enhanced software defect prediction using transformer-assisted boosting.

Scientific reports·2026
Same author

Machine learning-driven image encryption using SVM for enhanced security and computational efficiency.

Scientific reports·2026
Same author

Optimizing hepatitis C diagnosis through reinforcement learning feature selection and multi-model machine learning evaluation.

Scientific reports·2026
Same author

The authors respond to reader comment regarding machine learning models to detect opioid misuse in emergency department patients at triage.

The American journal of emergency medicine·2026

Related Experiment Video

Updated: Apr 25, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.1K

Blockchain driven medical image encryption employing chaotic tent map in cloud computing.

Usman Shahid1, Shamsa Kanwal2, Mahwish Bano1

  • 1Department of Mathematics, Air University, Islamabad, Pakistan.

Scientific Reports
|February 20, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a Blockchain driven Chaotic Tent Map Encryption Scheme (BCTMES) for secure image transmission. BCTMES enhances data security over public networks by combining blockchain immutability with chaotic map encryption.

Keywords:
BlockchainChaotic tent mapCloud computingImage encryptionPrime circulant matrixSine map

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.6K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.2K

Related Experiment Videos

Last Updated: Apr 25, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.1K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.6K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.2K

Area of Science:

  • Computer Science
  • Cryptography
  • Network Security

Background:

  • Data security over public networks is a critical concern in the digital age.
  • Image data is particularly vulnerable to breaches and eavesdropping when using cloud services.

Purpose of the Study:

  • To propose a novel Blockchain driven Chaotic Tent Map Encryption Scheme (BCTMES) for secure image transmission.
  • To enhance the security of image data in cloud environments by integrating blockchain and chaotic encryption.

Main Methods:

  • Images are encrypted using the Chaotic Tent map encryption technique.
  • The encrypted image is uploaded to the cloud, with a signed document stored on the blockchain.
  • Blockchain's consensus mechanism verifies image integrity and authenticity upon retrieval.

Main Results:

  • BCTMES demonstrated significant improvements in security parameters like entropy, correlation coefficient, PSNR, NPCR, and UACI.
  • The scheme offers robust defense against brute-force attacks due to a large key size.
  • Evaluations confirm enhanced resilience and resistance to various security threats.

Conclusions:

  • BCTMES provides a comprehensive solution for secure image transmission in cloud settings.
  • The proposed scheme effectively mitigates risks associated with data integrity and privacy.
  • This work opens avenues for further research and practical applications in secure cloud-based image handling.