# A maximum entropy classification scheme for phishing detection using parsimonious features

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-maximum-entropy-classification-scheme-for-phishing-detection-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Emmanuel Oluwatobi Asani,Adebayo Omotosho,Paul Asante Danquah,Joyce Ayoola,Peace Ayegba,Olumide Babatope Longe |
| Citations | 11 |
| DOI | 10.12928/telkomnika.v19i5.15981 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | http://journal.uad.ac.id/index.php/TELKOMNIKA/article/download/15981/10822 |
| OpenAlex ID | https://openalex.org/W3158789112 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Emmanuel Oluwatobi Asani](https://scholariq.org/researchers/emmanuel-oluwatobi-asani/)
- [Joyce Ayoola](https://scholariq.org/researchers/joyce-ayoola/)

## Paper journal

- [TELKOMNIKA (Telecommunication Computing Electronics and Control)](https://scholariq.org/journals/telkomnika-telecommunication-computing-electronics-and-control/)

## 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/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)

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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.