Evidence map›Paper›PMID 42884485›Full record

ArticleSensors (Basel, Switzerland)2026

Medical Image Encryption via CSPRNG-HKDF Key Scheduling, Fractional-Order Modified Chen Hyperchaos, and Dynamic DNA-ARX Diffusion.

Kaan Doğan Erdoğan, Nurettin Doğan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kaan Doğan ErdoğanDepartment of Property Protection and Security, Selcuk University, Konya 42400, Türkiye.ORCID 0000-0002-8552-7965
Nurettin DoğanFaculty of Technology, Department of Computer Engineering, Selcuk University, Konya 42130, Türkiye.ORCID 0000-0002-8267-8469

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protecting medical images requires encryption methods that combine cryptographic key management with validated nonlinear transformations and effective diffusion mechanisms. This study proposes an encryption-instance-specific framework based on a CSPRNG-generated 256-bit session secret, HMAC-SHA-512-based HKDF with public NOAA/SWPC temporal context, a modified four-dimensional fractional-order Chen system, adaptive bit-plane permutation, position-dependent dynamic DNA transformation, and SPARKLE256-based two-pass ARX-duplex diffusion. The fractional operating region was evaluated through boundedness, Lyapunov-spectrum, bifurcation, phase-portrait, and modified 0-1 chaos analyses. All 10,000 sampled parameter triplets remained finite and bounded, all 1000 Lyapunov-grid configurations satisfied the hyperchaos criterion, and the minimum second Lyapunov exponent was 0.0546; the modified 0-1 test accepted all 35 representative cases with a median

Indexed as

ARX diffusionbit-plane permutationchaos-based cryptographydynamic DNA encodingfractional-order systemsHKDF key derivationhyperchaotic Chen systemmedical image encryption

Identifiers

PMID42884485
PMCPMC13667584

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.