A Systematic Investigation of the Current State of Security in Electronic Medical Images: 2019–2024

Divya Sharma; Chander Prabha

doi:10.47852/bonviewAIA52026322

Authors

Divya Sharma Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
Chander Prabha Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India https://orcid.org/0000-0002-2322-7289

DOI:

https://doi.org/10.47852/bonviewAIA52026322

Keywords:

privacy, security, e-health data, electronic medical images, steganography, cryptography, computational complexity

Abstract

Currently, there is a need to study the state of development of data-hiding techniques for securing electronic medical images (EMIs) when being transmitted or when stored on third-party storage. EMIs are large-sized and are of varying dimensions. Thus, they are commonly stored in third-party cloud storage. Because EMIs are accessed in real time, data-hiding techniques need to be lightweight and secure to ensure reduced computational time complexity. The research goal of this article is to study the state of research work that has been done to secure EMIs. A total of 147 articles were studied, focusing on e-health data and their security from 2019 to 2024. This paper focuses on the challenges that the conventional techniques face. The results found in this research article have been organized to help future researchers understand the trends in the programming language currently being used, their research goals, the achievement of these goals, the time required for these techniques, and the dataset on which the proposed techniques were evaluated. There is a tabulated study on the commonly used programming language. This research also provides an in-depth study of the currently popular performance metrics used, with a graph-based comparative analysis of their achieved results.

Received: 31 May 2025 | Revised: 14 October 2025 | Accepted: 23 December 2025

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement

Divya Sharma: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Writing – original draft. Chander Prabha: Data curation, Writing – review & editing, Visualization, Supervision, Project administration.