# An Intrusion System for Internet of Things Security Breaches Using Machine Learning Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-intrusion-system-for-internet-of-things-security-breaches-using-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Temitope Samson Adekunle,Oluwaseyi O. Alabi,Morolake Oladayo Lawrence,Toheeb Adetoyese Adeleke,Olakunle Sunday Afolabi,Godwin Nse Ebong,Gabriel Olumide Egbedokun,Temitope A. Bamisaye |
| Citations | 14 |
| DOI | 10.47852/bonviewaia42021780 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ojs.bonviewpress.com/index.php/AIA/article/download/1780/853 |
| OpenAlex ID | https://openalex.org/W4392509909 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Temitope Samson Adekunle](https://scholariq.org/researchers/temitope-samson-adekunle/)
- [Godwin Nse Ebong](https://scholariq.org/researchers/godwin-nse-ebong/)
- [Oluwaseyi O. Alabi](https://scholariq.org/researchers/oluwaseyi-o-alabi/)

## Paper journal

- [Artificial Intelligence and Applications](https://scholariq.org/journals/artificial-intelligence-and-applications/)

## 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/)

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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.