An effective detection approach for phishing websites using URL and HTML features
- DOI
- 10.1038/s41598-022-10841-5
- Published
- 2022-05-25
- 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/s41598-022-10841-5,
title = {An effective detection approach for phishing websites using URL and HTML features},
author = {Ali Aljofey and Qingshan Jiang and Abdur Rasool and Hui Chen and Wenyin Liu and Qiang Qu and Yang Wang},
year = {2022},
journal = {Scientific Reports},
doi = {10.1038/s41598-022-10841-5},
url = {https://doi.org/10.1038/s41598-022-10841-5}
}RIS
TY - JOUR TI - An effective detection approach for phishing websites using URL and HTML features AU - Ali Aljofey AU - Qingshan Jiang AU - Abdur Rasool AU - Hui Chen AU - Wenyin Liu AU - Qiang Qu AU - Yang Wang PY - 2022 JO - Scientific Reports DO - 10.1038/s41598-022-10841-5 UR - https://doi.org/10.1038/s41598-022-10841-5 ER -
APA
Aljofey, A., Jiang, Q., Rasool, A., Chen, H., Liu, W., Qu, Q., & Wang, Y. (2022). An effective detection approach for phishing websites using URL and HTML features. Scientific Reports. https://doi.org/10.1038/s41598-022-10841-5
Source records
- crossref · retrieved 2026-09-26T05:27:49.253Z