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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Enhancing Malware Detection for Android Apps: Detecting Fine-granularity Malicious Components

Authors: Liu, Zhijie;

Enhancing Malware Detection for Android Apps: Detecting Fine-granularity Malicious Components

Abstract

These files are the experiment data of AMCDroid. (1) is the dataset used in the experiment (to the best of our knowledge, MYST dataset is the only one annotated with locations of malicious classes); (2) is the malicious component detection result of the running example; (3) to (6) are the experiment data in RQ1 to RQ4; (7) is the malicious component detection result of Roaming Mantis; (8) is the malicious component detection result in internal validity. You can request access to the source code by clicking AMCDroid.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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