# XMal: A lightweight memory-based explainable obfuscated-malware detector

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/xmal-a-lightweight-memory-based-explainable-obfuscated-malware-detector/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohammed M. Alani,Atefeh Mashatan,Ali Miri |
| Citations | 43 |
| DOI | 10.1016/j.cose.2023.103409 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4385336663 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Atefeh Mashatan](https://scholariq.org/researchers/atefeh-mashatan/)

## 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/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [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.