An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM

An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM

Abstract In recent years, with the application of Internet of Things (IoT) and cloud technology in smart industrialization, Industrial Internet of Things (IIoT) has become an emerging hot topic. The increasing amount of data and device numbers in IIoT poses significant challenges to its security iss...

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Bibliographic Details
Main Authors: Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Anomaly detection
Feature selection
IIoT
Loss function
LSTM
XGBoost
Online Access:https://doi.org/10.1038/s41598-024-74822-6

Internet

https://doi.org/10.1038/s41598-024-74822-6

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