Mining apps for anomalies


When interacting with mobile apps, do users always get what they expect? We have mined thousands of Android apps for common features such as descriptions, APIs used, data flows, and (recently) user interfaces and callbacks. Associating these with each other allows us to detect outliers: Apps whose description does not fit their behavior; apps whose… (More)
DOI: 10.1145/2975961.2990476


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