An ensemble deep learning model for cyber threat hunting in industrial internet of things

An ensemble deep learning model for cyber threat hunting in industrial internet of things

By the emergence of the fourth industrial revolution, interconnected devices and sensors generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) platforms. Such vast heterogeneous data increase the challenges of security risks and data analysis procedures. As IIo...

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Bibliographic Details
Main Authors: Abbas Yazdinejad, Mostafa Kazemi, Reza M. Parizi, Ali Dehghantanha, Hadis Karimipour
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-02-01
Series:Digital Communications and Networks
Subjects:
Internet of things
IIoT
Anomaly detection
Ensemble deep learning
Neural networks
LSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864822001833

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http://www.sciencedirect.com/science/article/pii/S2352864822001833

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