Transformer Models for Smishing Detection: Benchmarking BERT and ELECTRA
2025 9th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Türkiye.
Summary
Emre Aşkın and Muhammet Baykara's ISMSIT 2025 paper compares how the Transformer models BERT and ELECTRA perform at detecting SMS phishing (smishing) and reports the benchmark results.
Contributions
- Compares BERT and ELECTRA on the same smishing detection task.
- Reports benchmark results for both models.
Keywords
- Smishing
- BERT
- ELECTRA
- Transformer models
- Cybersecurity
IEEE Xplorehttps://doi.org/10.1109/ismsit67332.2025.11267991
Citation
E. Aşkın and M. Baykara, "Transformer Models for Smishing Detection: Benchmarking BERT and ELECTRA," in 2025 9th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Türkiye, 2025, pp. 1-6, doi: 10.1109/ismsit67332.2025.11267991.
@inproceedings{askin2025transformer,
author = {A{\c{s}}k{\i}n, Emre and Baykara, Muhammet},
title = {Transformer Models for Smishing Detection: Benchmarking BERT and ELECTRA},
booktitle = {2025 9th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)},
year = {2025},
address = {Ankara, T{\"{u}}rkiye},
pages = {1--6},
doi = {10.1109/ismsit67332.2025.11267991}
}