Android Data Visualization

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With this in mind, in this paper we consider the following research questions: If we provide a user with more information using visuals to portray what actions were performed on various sensitive resources at different time intervals by several apps, can the user make better-informed decisions when granting permission requests to apps Can the user detect an app performing activities that should not have been carried out within a particular timeframe Can the user detect an app that is performing an activity that does not conform to its functionalities For example, a flashlight app that sends a user’s location to a remote destination.. Table 1: Basic Statistical Data Collected from Android APIs Basic Statistical Data CPU Usage Total Private Dirty Total Pss Rx Bytes Tx Bytes Description The amount of CPU used by an app The amount of private memory used by an app The amount of shared memory used an app The amount of network bytes received by an app The amount of network bytes transferred by an app AppViz collects the Kernel-Level log data through the Android debugging tool.. Select Phone Info ⇒ Scroll down ⇒ Select Hardware Details Brightest Flashlight: Turn on the flashlight for 30 seconds Photo Gallery: Search for ‘Oxford University’ ⇒ Click on any of the results Dropbox: Click the + sign at the bottom ⇒ Use camera ⇒ Take a picture ⇒ upload UC Browser: Open www.google.com ⇒ search for ‘Oxford University’ ⇒ open any result TesterApp: Click on all the buttons that are displayed to see their intended results.. Some of our baseline observations include: 1) Facebook and Instagram continually access the Internet, likely because they aim to keep users up-to date with their current status and feeds 2) Facebook uses more Shared and Private Memory than any other app 3) Happn, a dating app that relies on a user’s location to search for potential matches, transferred more data out of the device than other apps 4) Brightest Flashlight allows users to use their camera flash as a t

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