# Enhancing internet of things attack detection using principal component analysis and kernel principal component analysis with cosine distance and sigmoid kernel

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhancing-internet-of-things-attack-detection-using-principal-component-analysis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zyad Elkhadir,Mohammed Achkari Begdouri |
| Citations | 4 |
| DOI | 10.11591/ijece.v15i1.pp1099-1108 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ijece.iaescore.com/index.php/IJECE/article/download/36256/18018 |
| OpenAlex ID | https://openalex.org/W4404491763 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Mohammed Achkari Begdouri](https://scholariq.org/researchers/mohammed-achkari-begdouri/)

## Paper primary topic

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

## Paper topics

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)

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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.