<p>With the large number of Android apps available in app stores such as
Google Play, it has become increasingly challenging to choose among the apps.
The users generally select the apps based on the ratings and reviews of other
users, or the recommendations from the app store. But it is very important to
take the security into consideration while choosing an app with the increasing
security and privacy concerns with mobile apps. This thesis proposes different
ranking schemes for Android apps based on security apps evaluated from the
static code analysis tools that are available. It proposes the ranking schemes
based on the categories of evidences reported by the tools, based on the
frequency of each category, and based on the severity of each evidence. The
evidences are gathered, and rankings are generated based on the theory of
Subjective Logic. In addition to these ranking schemes, the tools are
themselves evaluated against the Ghera benchmark. Finally, this work proposes
two additional schemes to combine the evidences from difference tools to
provide a combined ranking.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/13331174 |
| Date | 07 January 2021 |
| Creators | Ayush Maharjan (9728690) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Ranking_of_Android_Apps_based_on_Security_Evidences/13331174 |
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