# A Survey on the Detection of Android Malicious Apps

**Authors:** Sanjay K. Sahay, Ashu Sharma

arXiv: 1905.13747 · 2019-06-03

## TL;DR

This survey reviews various techniques for detecting malicious Android apps, highlighting ongoing challenges as malware developers adapt faster than current countermeasures.

## Contribution

It provides a comprehensive overview of existing detection methods and analyzes their effectiveness against evolving Android malware.

## Key findings

- Malware detection techniques vary widely in approach and effectiveness.
- Malware developers continuously adapt to bypass detection methods.
- Current techniques are often insufficient against sophisticated malicious apps.

## Abstract

Android-based smart devices are exponentially growing, and due to the ubiquity of the Internet, these devices are globally connected to the different devices/networks. Its popularity, attractive features, and mobility make malware creator to put a number of malicious apps in the market to disrupt and annoy the victims. Although to identify the malicious apps, time-to-time various techniques are proposed. However, it appears that malware developers are always ahead of the anti-malware group, and the proposed techniques by the anti-malware groups are not sufficient to counter the advanced malicious apps. Therefore, to understand the various techniques proposed/used for the identification of Android malicious apps, in this paper, we present a survey conducted by us on the work done by the researchers in this field.

## Full text

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## References

45 references — full list in the complete paper: https://tomesphere.com/paper/1905.13747/full.md

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Source: https://tomesphere.com/paper/1905.13747