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Updated: Jan 30, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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一种混合机器学习方法,用于检测软件定义网络中的DDoS攻击

Iftekhar Ahmed Mahar1, Kamran Aziz2, Prasun Chakrabarti3

  • 1School of Computer Science, Wuhan University, Wuhan, 430000, China.

Scientific reports
|January 28, 2026
PubMed
概括

本研究介绍了一种机器学习框架,用于在软件定义网络 (SDN) 中检测分布式拒绝服务 (DDoS) 攻击. 一种混合的Random Forest-XGBoost模型实现了99.36%的准确性,为可编程网络提供可靠的早期检测.

关键词:
分布式拒绝服务 (DDoS)功能工程的特点工程.流量统计数据 流量统计数据混合分类模型的混合分类模型.机器学习 机器学习开放流是指开放的流.港口统计 港口统计随机的森林随机的森林SDN安全性安全性SDN安全性软件定义网络 (SDN) 是一种软件定义网络.交通分类的交通分类.在XGBoost上使用.

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