ArticlePloS one2025
Enhanced lightweight and compromised-resilient image encryption for resource constrained environments.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Enhanced image encryption with deep generative models using a self-attention mechanism.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The Internet is experiencing a significant increase in multimedia traffic volume, highlighting the growing importance of managing and securing multimedia content efficiently. Classical or traditional security solutions are suitable for those applications that have sufficient computing resources. However, the rise of IoTs and its applications opens new directions for researchers to provide lightweight security solutions. Many IoT applications send critical image data over the Internet, which requires adequate protection. Traditional security solutions are not suitable due to the resource-constrained nature of the environments. An effective security solution is necessary for such environments that balance lightweight design with strong security measures. Current research efforts in this area lack the ability to provide both secure and lightweight properties simultaneously. Therefore, a robust and lightweight cryptosystem is needed to secure the sensitive information of digital images. This research addresses the existing gap by proposing a lightweight and robust cryptographic system that encrypts digital data in less processing time without compromising security. The proposed image encryption technique is evaluated using security and performance measures, such as cipher processing time, histogram analysis, entropy, correlation, mean square error and sensitivity analysis. Moreover, the comprehensive analysis reveals the proposed image encryption technique effectively and collectively meets all the security and performance requirements compared to existing state-of-the-art lightweight image encryption techniques.
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Registered trials
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.