Machine Learning-Based Lightweight Android Malware Detection System with Static Features

Author:

Jain Kavita,Dave Mayank

Publisher

Springer Singapore

Reference25 articles.

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3. Mobile malware report - no let-up with android malware | g data. https://www.gdatasoftware.com/news/2019/07/35228-mobile-malware-report-no-let-up-with-android-malware. Accessed 6 Dec 2019

4. 172 malicious apps with 335m+ installs found on google play. https://thenextweb.com/apps/2019/10/01/google-play-android-malware-2/. Accessed 5 Dec 2019

5. Faruki P, Bharmal A, Laxmi V, Ganmoor V, Gaur MS, Conti M, Rajarajan M (2015) Android security: a survey of issues, malware penetration, and defenses. IEEE Commun Surveys Tutorials 17(2):998–1022. https://doi.org/10.1109/COMST.2014.2386139

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1. HM-SAF: Cross-Layer Static Analysis Framework For HarmonyOS;2023 IEEE Smart World Congress (SWC);2023-08-28

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