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Updated: May 10, 2025

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提高5G边缘网络的安全性:使用SDN环境中的机器学习预测实时零信任攻击.

Fiza Ashfaq1, Muhammad Wasim1, Mumtaz Ali Shah2

  • 1Department of Computer Science, UMT Sialkot Campus, KUST, Sialkot 51040, Pakistan.

Sensors (Basel, Switzerland)
|April 28, 2025
PubMed
概括

本研究引入了一种新的机器学习方法,用于实时检测分布式拒绝服务 (DDoS) 攻击. 拟议的系统在一秒钟内识别这些复杂的网络威胁时达到99%的准确性.

关键词:
这是一个SDNSDNSDN.网络安全 网络安全检测入侵 检测入侵防止入侵 防止入侵机器学习是机器学习.实时实时的时间.没有信任的零信任.

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