Xia, Haoran (2020) Ultimate feature extractor for Android mobile applications - Technical Features. Bachelor's Thesis, Computing Science.
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Abstract
Android systems have long had the ability to install third party software through unofficial sources. This has resulted in these systems being a prime target for malicious intent. Current research has focused on extracting security features from Android applications and determining whether they are a safety threat or not using machine learning algorithms and other methods. However, researchers tend to use their own tools and data which leads to incomparable research results across different research. Thus we would like to propose an ultimate feature extractor that is able to combine different kind of features from different categories into one, with the possibility of adding and/or removing features as the user wishes. In this paper we propose the technical feature extraction part of the feature extractor. Such features includes information that can be obtained by analyzing files in an Android application.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Mohsen, F.F.M. and Turkmen, F. |
| Degree programme: | Computing Science |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 24 Jul 2020 09:57 |
| Last Modified: | 24 Jul 2020 09:57 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/22850 |
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