Effective classification of android malware families through dynamic features and neural networks
Author:
Affiliation:
1. Department of Computer Science, University of Salerno, Fisciano, SA, Italy
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.1889977
Reference53 articles.
1. DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android
2. Abraham, A. (2020). Mobile security framework (MOBSF). Retrieved 2020, from https://www.genymotion.com/
3. null
4. Low-Resource Footprint, Data-Driven Malware Detection on Android
5. Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
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