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Manal Abdullah Alohali1, Hatim Dafaalla2, Mohammed Baihan3

  • 1Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.

Scientific reports
|July 3, 2025
PubMed
概括

本研究介绍了一种使用联合学习 (FL) 和人工智能优化来有效检测网络攻击的新型网络安全方法. SAMFL-SCDCOA方法实现了99.04%的准确性,增强了实时威胁预防.

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