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FL-MalDrift:在本地概念漂移下用于恶意软件检测的联合学习框架.

Amit Patel1, Deepak Singh Tomar2, R K Pateriya2

  • 1Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, M.P., 462003, India. amit.manit007@gmail.com.

Scientific reports
|December 15, 2025
PubMed
概括

本研究介绍了FL-MalDrift,该框架通过解决概念漂移来增强Android恶意软件检测的联合学习 (FL). 它提高了准确性,并在不断变化的非静止环境中保持隐私.

关键词:
客户端的调整是客户端的调整概念的漂移概念的漂移漂移检测方法 漂移检测方法联合学习是联合学习.恶意软件检测检测 恶意软件检测

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