# Application of Machine Learning for Ransomware Detection in IoT Devices

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/application-of-machine-learning-for-ransomware-detection-in-iot-devices/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Roseline Oluwaseun Ogundokun,Joseph Bamidele Awotunde,Sanjay Misra,Oluwakemi Christiana Abikoye,Oluwafemi Folarin |
| Citations | 23 |
| DOI | 10.1007/978-3-030-72236-4_16 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3166966935 |
| Type | book-chapter |
| Year | 2021 |

## Paper authors

- [Oluwakemi Christiana Abikoye](https://scholariq.org/researchers/oluwakemi-christiana-abikoye/)

## Paper journal

- [Studies in computational intelligence](https://scholariq.org/journals/studies-in-computational-intelligence/)

## Paper primary topic

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

## Paper topics

- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

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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.