Automatic Feature Extraction, Categorization and Detection of Malicious Code in Android Applications
Abstract
Since Android has become a popular software platform for mobile devices recently; they offer almost the same functionality as personal computers. Malwares have also become a big concern. As the number of new Android applications tends to be rapidly increased in the near future, there is a need for automatic malware detection quickly and efficiently. In this paper, we define a simple static analysis approach to first extract the features of the android application based on intents and categories the application into a known major category and later on mapping it with the permissions requested by the application and also comparing it with the most obvious intents of category. As a result, getting to know which apps are using features which they are not supposed to use or they do not need.
Cite
@article{arxiv.2006.02758,
title = {Automatic Feature Extraction, Categorization and Detection of Malicious Code in Android Applications},
author = {Muhammad Zuhair Qadir and Atif Nisar Jilani and Hassam Ullah Sheikh},
journal= {arXiv preprint arXiv:2006.02758},
year = {2020}
}
Comments
published paper in ijins journal