,Android

Pablo Morán1, Antonio Robles-Gómez1, Andres Duque2

  • 1Departamento de Sistemas de Comunicación y Control, Universidad Nacional de Educación a Distancia, Madrid, Spain.

PeerJ. Computer science
|February 3, 2025
PubMed
概括

这项研究通过机器学习增强了Android恶意软件检测. 随机森林模型实现了91.72%的恶意软件检测,假阳性率为0.13%,显著减少了功能.

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