Evidence map›Paper›PMID 40885745›Full record

ArticleScientific reports2025

A lightweight multi round confusion-diffusion cryptosystem for securing images using a modified 5D chaotic system.

T Anujaa, Afra Fathima Thajudeen Ali Ahamed, Vedika Baranwal, V Thanikaiselvan, S Subashanthini, C Sivaranjani Devi, Amirtharajan Rengarajan

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

T AnujaaSchool of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore, 632 014, India.
Afra Fathima Thajudeen Ali AhamedSchool of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore, 632 014, India.
Vedika BaranwalSchool of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore, 632 014, India.
V ThanikaiselvanSchool of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore, 632 014, India.
S SubashanthiniSchool of Computer Science Engineering and Information Systems, Vellore Institute of Technology (VIT), Vellore, 632 014, India. subashanthini@vit.ac.in.
C Sivaranjani DeviSchool of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, 613401, India.
Amirtharajan RengarajanSchool of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, 613401, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, technological advancements have made the transmission of confidential information spooky. This research proposes a modified 5D chaotic map and a new image encryption algorithm based on an integrated chaotic system developed with SHA-512 hashing and a confusion-diffusion architecture. The modified 5D chaotic map provides randomness, and its performance is evaluated through a bifurcation diagram and Lyapunov exponent. The randomness of chaotic sequences is validated through the NIST test. The multi-round diffusion and permutation incorporating the proposed chaotic sequences significantly enhances security by destroying pixel correlation among pixels. The encryption algorithm is validated through performance metric analysis, yielding NPCR of 99.6069%, UACI of 33.4284%, and entropy of 7.99442. These values depict advanced security features needed for various multimedia, medical, and military applications. Therefore, this approach reveals the extent to which chaotic encryption systems provide digital image protection in high-risk communication environments.

Indexed as

Chaotic mapsConfusion-diffusionDigital securityImage encryptionMultimedia protectionSHA-512

Identifiers

PMID40885745
PMCPMC12398579

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LicenceCC BY
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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.