Enhancing healthcare information security through VAE-driven anomaly detection in EHR access patterns.

Iqbal T, Raoof I, Alkanan M, Gulzar Y

Open source

DOI: 10.1038/s41598-026-55024-8
Published: 2026 May 26
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-55024-8,
  title = {Enhancing healthcare information security through VAE-driven anomaly detection in EHR access patterns.},
  author = {Iqbal T and Raoof I and Alkanan M and Gulzar Y},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-55024-8},
  url = {https://doi.org/10.1038/s41598-026-55024-8}
}

RIS

TY  - JOUR
TI  - Enhancing healthcare information security through VAE-driven anomaly detection in EHR access patterns.
AU  - Iqbal T
AU  - Raoof I
AU  - Alkanan M
AU  - Gulzar Y
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-55024-8
UR  - https://doi.org/10.1038/s41598-026-55024-8
ER  -

APA

T, I., I, R., M, A., & Y, G. (2026). Enhancing healthcare information security through VAE-driven anomaly detection in EHR access patterns.. Scientific reports. https://doi.org/10.1038/s41598-026-55024-8

Source records

pubmed · retrieved 2026-09-26T12:32:27.761Z
europe-pmc · retrieved 2026-09-26T12:32:27.757Z
doaj · retrieved 2026-09-26T12:32:27.728Z