# A machine learning approach for detecting fast flux phishing hostnames

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-machine-learning-approach-for-detecting-fast-flux-phishing-hostnames/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thomas Nagunwa,Paul Kearney,Shereen Fouad |
| Citations | 17 |
| DOI | 10.1016/j.jisa.2022.103125 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4213250052 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Shereen Fouad](https://scholariq.org/researchers/shereen-fouad/)

## 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/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Internet Traffic Analysis and Secure E-voting](https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting/)

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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.