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Academic Programs and Concentrations
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The growing popularity of Android devices has made them an increasing target for malicious apps. Of course, a malicious app is most effective when a user is not aware of its intent. Therefore, they often take the form of ostensibly benign, helpful, and, for that matter, free applications. Our goal is to discover how common this is among free camera applications. Camera applications are a good test case because they ought to be very simple. This paper uses static analysis on the Dalvik byte code of camera applications to search for certain characteristics or identify applications that demonstrate behavior that is not expected by the user.
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Burnley, Christopher Blake, "Using Byte Code to Find Idiosyncratic Android Camera Apps" (2018). Senior Projects Spring 2018. 290.