# Improving the phishing website detection using empirical analysis of Function Tree and its variants

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improving-the-phishing-website-detection-using-empirical-analysis-of-function/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdullateef Oluwagbemiga Balogun,Kayode S. Adewole,Muiz Olalekan Raheem,Akande Noah Oluwatobi,Fatima Enehezei Usman-Hamza,Modinat A. Mabayoje,Abimbola G. Akintola,Ayisat Wuraola Asaju-Gbolagade,Muhammed K. Jimoh,Rasheed Gbenga Jimoh,Victor Elijah Adeyemo |
| Citations | 39 |
| DOI | 10.1016/j.heliyon.2021.e07437 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.heliyon.2021.e07437 |
| OpenAlex ID | https://openalex.org/W3175957125 |
| PMID | 34278030 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Modinat A. Mabayoje](https://scholariq.org/researchers/modinat-a-mabayoje/)

## Paper journal

- [Heliyon](https://scholariq.org/journals/heliyon/)

## Paper primary topic

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

## Paper topics

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.