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MaMaDroid: Detecting Android malware by building markov chains of behavioral models (extended version)

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Academic year: 2020

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Fig. 2. Overview of MaMaDroid operation. In (1), it extracts the call graph from an Android app, next, itbuilds the sequences of (abstracted) API calls from the call graph (2)
Fig. 4. Call graph of the API calls in the try/catch block of Fig. 3. (Return types and parameters are omittedto ease presentation).
Fig. 5. Sequence of API calls extracted from the call graphs in Fig. 4, with the corresponding class/package/-family abstraction in square brackets.
Table 1. Overview of the datasets used in our experiments.
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