NeuroSymbolicPhishDefend for adaptive multimodal phishing detection against evolving artificial intelligence driven threats

Gaddam Lakshmi, Perumalla Swetha

Open source

DOI: 10.1038/s41598-026-59008-6
Published: 2026-06-19
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-59008-6,
  title = {NeuroSymbolicPhishDefend for adaptive multimodal phishing detection against evolving artificial intelligence driven threats},
  author = {Gaddam Lakshmi and Perumalla Swetha},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-59008-6},
  url = {https://doi.org/10.1038/s41598-026-59008-6}
}

RIS

TY  - JOUR
TI  - NeuroSymbolicPhishDefend for adaptive multimodal phishing detection against evolving artificial intelligence driven threats
AU  - Gaddam Lakshmi
AU  - Perumalla Swetha
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-59008-6
UR  - https://doi.org/10.1038/s41598-026-59008-6
ER  -

APA

Lakshmi, G., & Swetha, P. (2026). NeuroSymbolicPhishDefend for adaptive multimodal phishing detection against evolving artificial intelligence driven threats. Scientific Reports. https://doi.org/10.1038/s41598-026-59008-6

Source records

crossref · retrieved 2026-09-25T17:55:34.771Z