# Automated malware detection using machine learning and deep learning approaches for android applications

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-malware-detection-using-machine-learning-and-deep-learning-approaches/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Poornima,R. Mahalakshmi |
| Citations | 24 |
| DOI | 10.1016/j.measen.2023.100955 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.measen.2023.100955 |
| OpenAlex ID | https://openalex.org/W4389207387 |
| Type | article |
| Year | 2023 |

## Paper authors

- [S. Poornima](https://scholariq.org/researchers/s-poornima/)

## 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/)
- [Digital and Cyber Forensics](https://scholariq.org/topics/digital-and-cyber-forensics/)

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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.