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Updated: Jan 15, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
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Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

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基于OPC UA的工业物联网系统的可解释的马尔科夫链-机器学习序列意识异常检测框架

Youness Ghazi1,2, Mohamed Tabaa1, Mohamed Ennaji2

  • 1Pluridisciplinary Laboratory of Research and Innovation (LPRI), EMSI, Casablanca 20330, Morocco.

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

本研究介绍了使用OPC统一架构 (OPC UA) 的工业控制系统 (ICS) 的混合顺序异常检测管道. 该方法通过分析顺序数据,提高准确性和提供可解释的见解来增强网络攻击的检测.

关键词:
在ICS/SCADA安全方面,IIoT 边缘的边缘马尔科夫链是一种马尔科夫链.在OPC UA中使用OPC UA.检测异常检测异常检测有关因果推理的推理.可以解释的人工智能AI机器学习是机器学习.顺序建模的连续建模.

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