SEMANTICS-AWARE ANDROID MALWARE CLASSIFICATION

摘要

A semantic-based approach that classifies Android malware via dependency graphs. To battle transformation attacks, a weighted contextual API dependency graph is extracted as program semantics to construct feature sets. To fight against malware variants and zero-day malware, graph similarity metrics are used to uncover homogeneous application behaviors while tolerating minor implementation differences.

主权项

1. A malware detection system, comprising:
a detection server interconnected to an application market for receiving an unknown application and to a database containing a plurality of behavior graphs associated with known malware and known benign ware, wherein the detection server includes: a first module programmed to receive a unknown application and to generate a behavior graph of the unknown application using static analysis; a second module programmed to perform a similarity query between the behavior graph of the unknown application and the plurality of behavior graphs in the database; and a third module programmed to determine whether the unknown application is malware based on the results of the similarity query.