作者: Francesco Mercaldo , Vittoria Nardone , Antonella Santone , Corrado Aaron Visaggio
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摘要: In mobile malware landscape there are many techniques to inject malicious payload in a trusted application: one of the most common is represented by so-called update attack. After an apparently innocuous application installed on victim's device, user asked application, and behavior added application. this paper we propose static method based model checking able identify kind addiction, our localize at method-level. We obtain accuracy very close 1 identifying families implementing attack using real Android dataset composed 2,581 samples.