CRMay 30, 2019

A Survey on the Detection of Android Malicious Apps

arXiv:1905.13747v1
Originality Synthesis-oriented
AI Analysis

It provides a comprehensive overview for researchers and practitioners in cybersecurity, but it is incremental as it synthesizes existing work without introducing new methods.

This paper presents a survey on techniques for detecting Android malicious apps, addressing the ongoing challenge where malware developers outpace anti-malware efforts, but it does not report specific results or numbers.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes