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Updated: May 6, 2026

A Pleural Effusion Model in Rats by Intratracheal Instillation of Polyacrylate/Nanosilica
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FortiNIDS:保护智能城市物联网基础设施免受基于机器学习的入侵检测系统中的可转移对手毒害

Abdulaziz Alajaji1

  • 1Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

本研究介绍了FortiNIDS,这是一个框架,用于增强基于AI的网络入侵检测系统 (NIDS) 来应对数据中毒攻击. 像对抗训练这样的防御措施可以提高智能城市物联网环境中的NIDS可靠性.

关键词:
物联网安全物联网安全物联网安全网络入侵检测系统 (NIDS) 是一种网络入侵检测系统.关于负面影响的拒绝 (RONI)具有对抗性的机器学习.进行对抗性培训.数据中毒攻击数据中毒攻击梯度增强可以提高梯度.随机的森林随机的森林智能城市安全 智能城市安全可以转让的可转让性.

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