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

<p dir="ltr">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 innova...

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Bibliographic Details
Main Author: Umesh Kumar Lilhore (17727684) (author)
Other Authors: Poongodi Manoharan (17727687) (author), Sarita Simaiya (17727693) (author), Roobaea Alroobaea (8698965) (author), Majed Alsafyani (17727696) (author), Abdullah M. Baqasah (17542077) (author), Surjeet Dalal (4906894) (author), Ashish Sharma (319838) (author), Kaamran Raahemifar (707645) (author)
Published: 2023
Subjects:
Engineering
Electrical engineering
Information and computing sciences
Artificial intelligence
Cybersecurity and privacy
Machine learning
Industry 4.0
cyber security
deep learning
optimized CNN
LSTM
transfer learning
GWO
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