Mining apps for anomalies

Abstract

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

Topics

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.

Slides referencing similar topics