Feb. 6, 2024, 5:10 a.m. | Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang

cs.CR updates on arXiv.org arxiv.org

Android malware detection serves as the front line against malicious apps. With the rapid advancement of machine learning (ML), ML-based Android malware detection has attracted increasing attention due to its capability of automatically capturing malicious patterns from Android APKs. These learning-driven methods have reported promising results in detecting malware. However, the absence of an in-depth analysis of current research progress makes it difficult to gain a holistic picture of the state of the art in this area.
This paper presents …

advancement android android malware apps attention cs.cr cs.lg detection key machine machine learning malicious malicious apps malware malware detection patterns rapid results solutions the key

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