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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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Umesh Kumar Lilhore (17727684) (author)
مؤلفون آخرون:	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)
منشور في:	2023
الموضوعات:	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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HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning

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