About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
sis 25(1):

Research Article

Fortifying Patient Data Security in the Digital Era: A Two-Layer Approach with Data Hiding and Electrocardiogram

Download115 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/eetsis.5644,
        author={Praveen Gupta and Ajay Prasad},
        title={Fortifying Patient Data Security in the Digital Era: A Two-Layer Approach with Data Hiding and Electrocardiogram},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={12},
        number={1},
        publisher={EAI},
        journal_a={SIS},
        year={2025},
        month={4},
        keywords={ECG, data embedding, RDH, PSNR},
        doi={10.4108/eetsis.5644}
    }
    
  • Praveen Gupta
    Ajay Prasad
    Year: 2025
    Fortifying Patient Data Security in the Digital Era: A Two-Layer Approach with Data Hiding and Electrocardiogram
    SIS
    EAI
    DOI: 10.4108/eetsis.5644
Praveen Gupta1,*, Ajay Prasad1
  • 1: University of Petroleum and Energy Studies
*Contact email: guptapraveenphd@gmail.com

Abstract

In an era dominated by digital technology, the imperative of securing patient data cannot be overstated. The deployment of advanced protective measures, including encryption, firewalls, and robust authentication protocols, is an absolute necessity when it comes to preserving the confidentiality and integrity of sensitive patient information. Furthermore, the establishment of stringent access controls serves as a fundamental safeguard, ensuring that only authorized personnel are granted access to this invaluable data. An innovative development in the realm of patient data protection is the utilization of ElectroCardioGram (ECG) as a unique identifier for individuals. In the context of this study, ECG data is ingeniously embedded within cover images using a technique known as Reversible Data Hiding (RDH). RDH offers a distinctive advantage by ensuring that the original image can be fully restored without loss of data after extraction. This achievement is made possible through the application of inventive pixel interpolation and histogram shifting algorithms. Crucially, the study's simulations, conducted across a diverse array of images, underscore the enhanced embedding capacity of the RDH technique while maintaining a commendable balance in terms of the Peak Signal to Noise Ratio (PSNR) and boundary map. This empirical evidence corroborates the efficacy of the approach and its potential to provide an advanced level of security for patient data in the digital landscape.

Keywords
ECG, data embedding, RDH, PSNR
Received
2025-04-11
Accepted
2025-04-11
Published
2025-04-11
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.5644

Copyright © 2024 Gupta et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL