Analyzing Android App Privacy With GP-PP Model

Mobile devices have become the major platforms of the Internet of Things applications for industrial enterprises. The ever-increasing number of Android Phone users has raised great concerns regarding the privacy issues related to the use of Android Apps. Freely downloadable apps requesting a large number of permissions have resulted in severe privacy concerns. While granting the permissions, users usually do not read their details or are unable to judge an app based on the permissions requested. In this paper, we address the privacy issues by categorizing app permissions into privacy invasive and generic permissions and validating the classification using the Naïve Bayes classifier.