A hybrid deep learning framework for Arabic smishing detection: Dataset creation, model design, and explainability
- DOI
- 10.1016/j.nlp.2026.100222
- Published
- 09
- Container
- Natural Language Processing Journal
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.nlp.2026.100222,
title = {A hybrid deep learning framework for Arabic smishing detection: Dataset creation, model design, and explainability},
author = {Mohammed Rasol Al Saidat and Khaled Shaalan and Suleiman Y. Yerima},
year = {2026},
journal = {Natural Language Processing Journal},
doi = {10.1016/j.nlp.2026.100222},
url = {https://doi.org/10.1016/j.nlp.2026.100222}
}RIS
TY - JOUR TI - A hybrid deep learning framework for Arabic smishing detection: Dataset creation, model design, and explainability AU - Mohammed Rasol Al Saidat AU - Khaled Shaalan AU - Suleiman Y. Yerima PY - 2026 JO - Natural Language Processing Journal DO - 10.1016/j.nlp.2026.100222 UR - https://doi.org/10.1016/j.nlp.2026.100222 ER -
APA
Saidat, M. R. A., Shaalan, K., & Yerima, S. Y. (2026). A hybrid deep learning framework for Arabic smishing detection: Dataset creation, model design, and explainability. Natural Language Processing Journal. https://doi.org/10.1016/j.nlp.2026.100222
Source records
- doaj · retrieved 2026-09-25T17:46:44.044Z