# A systematic evaluation of white-box explainable AI methods for anomaly detection in IoT systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-systematic-evaluation-of-white-box-explainable-ai-methods-for-anomaly/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Anna N. Gummadi,Osvaldo Arreche,Mustafa Abdallah |
| Citations | 8 |
| DOI | 10.1016/j.iot.2025.101505 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4406411790 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Anna N. Gummadi](https://scholariq.org/researchers/anna-n-gummadi/)

## Paper primary topic

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

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Smart Grid Security and Resilience](https://scholariq.org/topics/smart-grid-security-and-resilience/)

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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.