Real time identification of phishing attacks through machine learning enhanced browser extensions.

Dandotiya M, Goyal NK, Khunteta A, Tiwari B

Open source

DOI
10.1038/s41598-026-35655-7
Published
2026 Jan 29
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-35655-7,
  title = {Real time identification of phishing attacks through machine learning enhanced browser extensions.},
  author = {Dandotiya M and Goyal NK and Khunteta A and Tiwari B},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-35655-7},
  url = {https://doi.org/10.1038/s41598-026-35655-7}
}

RIS

TY  - JOUR
TI  - Real time identification of phishing attacks through machine learning enhanced browser extensions.
AU  - Dandotiya M
AU  - Goyal NK
AU  - Khunteta A
AU  - Tiwari B
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-35655-7
UR  - https://doi.org/10.1038/s41598-026-35655-7
ER  - 

APA

M, D., NK, G., A, K., & B, T. (2026). Real time identification of phishing attacks through machine learning enhanced browser extensions.. Scientific reports. https://doi.org/10.1038/s41598-026-35655-7

Source records