# DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diot-a-crowdsourced-self-learning-approach-for-detecting-compromised-iot-devices/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thien Duc Nguyen,Samuel Marchal,Markus Miettinen,Minh Hoang Dang,Nirmal Asokan,Ahmad‐Reza Sadeghi |
| Citations | 39 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/abs/1804.07474 |
| OpenAlex ID | https://openalex.org/W2804338997 |
| Type | preprint |
| Year | 2018 |

## Paper authors

- [Minh Hoang Dang](https://scholariq.org/researchers/minh-hoang-dang/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

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

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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.