A Survey on the Detection of Android Malicious Apps

May 30, 2019 ยท The Cartographer ยท ๐Ÿ› Advances in Intelligent Systems and Computing

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey on the Detection of Android Malicious Apps"

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Authors Sanjay K. Sahay, Ashu Sharma arXiv ID 1905.13747 Category cs.CR: Cryptography & Security Citations 8 Venue Advances in Intelligent Systems and Computing Last Checked 3 days ago
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.
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