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Updated: Jun 30, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

设计一种神经符号双模型架构,用于在物联网网络中进行可解释和弹性入侵检测

Ahmad Almadhor1, Shtwai Alsubai2, Abdullah Al Hejaili3

  • 1Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia. aaalmadhor@ju.edu.sa.

Scientific reports
|November 29, 2025
PubMed
概括

本研究介绍了用于物联网 (IoT) 网络威胁分析的混合神经符号AI. 该框架在检测网络攻击方面达到98%以上的准确性,提高了消费电子产品的安全性.

关键词:
网络攻击分类 网络攻击分类可解释的人工智能 (XAI)入侵检测系统 (IDS) 是一种入侵检测系统.物联网安全物联网安全物联网安全在 LIME 时代,神经符号AI是一种神经符号AI.这就是 SHAP SHAP 的意思.智能家居模拟器智能家居模拟器

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