# FraudDroid: automated ad fraud detection for Android apps

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/frauddroid-automated-ad-fraud-detection-for-android-apps/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Feng Dong,Haoyu Wang,Li Li,Yao Guo,Tegawendé F. Bissyandé,Tianming Liu,Guoai Xu,Jacques Klein |
| Citations | 91 |
| DOI | 10.1145/3236024.3236045 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | http://orbilu.uni.lu/handle/10993/37891 |
| OpenAlex ID | https://openalex.org/W2808617203 |
| Type | conference-paper |
| Year | 2018 |

## Paper authors

- [Yao Guo](https://scholariq.org/researchers/yao-guo/)

## 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/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Internet Traffic Analysis and Secure E-voting](https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting/)

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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.