Fast, Scalable Detection of "Piggybacked" Mobile Applications

Provided by: Association for Computing Machinery
Topic: Security
Format: PDF
Mobile applications (or apps) are rapidly growing in number and variety. These apps provide useful features, but also bring certain privacy and security risks. For example, malicious authors may attach destructive payloads to legitimate apps to create so-called "Piggybacked" apps and advertise them in various app markets to infect unsuspecting users. To detect them, existing approaches typically employ pair-wise comparison, which unfortunately has limited scalability. In this paper, the authors present a fast and scalable approach to detect these apps in existing Android markets. Based on the fact that the attached payload is not an integral part of a given app's primary functionality, they propose a module decoupling technique to partition an app's code into primary and non-primary modules.

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