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A Defensive Strategy Against Android Adversarial Malware Attacks

Due to the popularity of Android mobile devices over the past ten years, malicious Android applications have significantly increased. Systems utilizing machine learning techniques have been successfully applied for Android malware detection to counter the constantly changing Android malware threats....

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Hoofdauteurs: Fabrice Setephin Atedjio, Jean-Pierre Lienou, Frederica F. Nelson, Sachin S. Shetty, Charles A. Kamhoua
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2024-01-01
Reeks:IEEE Access
Onderwerpen:
Adversarial attack
Carlini-Wagner attack
generative adversarial network
android adversarial malware
Online toegang:https://ieeexplore.ieee.org/document/10747362/
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