HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning

HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning

Industrial automation systems are undergoing a revolutionary change with the use of Internet-connected operating equipment and the adoption of cutting-edge advanced technology such as AI, IoT, cloud computing, and deep learning within business organizations. These innovative and additional solutions...

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Bibliographic Details
Main Authors: Umesh Kumar Lilhore, Poongodi Manoharan, Sarita Simaiya, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Surjeet Dalal, Ashish Sharma, Kaamran Raahemifar
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
Industry 4.0
cyber security
deep learning
optimized CNN
LSTM
transfer learning
Online Access:https://www.mdpi.com/1424-8220/23/18/7856

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https://www.mdpi.com/1424-8220/23/18/7856

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