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Updated: Sep 13, 2025

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基于机器学习的多阶段入侵检测系统和特征选择组合安全在云辅助车辆特设网络中的安全

C Christy1, A Nirmala2, A Mary Odilya Teena2

  • 1PG and Research Department of Computer Science and Artificial Intelligence, St. Joseph's College of Arts and Science (Autonomous), Cuddalore, Tamil Nadu, India. christypaulraj.2025@gmail.com.

Scientific reports
|July 27, 2025
PubMed
概括

使用随机森林算法 (MLIDS-RFA) 的新入侵检测系统 (IDS) 提高了车辆特设网络 (VANET) 的安全性. 这种机器学习方法提高了智能运输系统的威胁检测准确性和效率.

关键词:
检测入侵的入侵者轻量化 轻量化 轻量化 轻量化 轻量化机器学习是机器学习.安全的安全的安全的安全的安全.车辆特设网络 车辆特设网络

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