Lilhore, U.K.; Manoharan, P.; Simaiya, S.; Alroobaea, R.; Alsafyani, M.; Baqasah, A.M.; Dalal, S.; Sharma, A.; Raahemifar, K.
HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning. Sensors 2023, 23, 7856.
https://doi.org/10.3390/s23187856
AMA Style
Lilhore UK, Manoharan P, Simaiya S, Alroobaea R, Alsafyani M, Baqasah AM, Dalal S, Sharma A, Raahemifar K.
HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning. Sensors. 2023; 23(18):7856.
https://doi.org/10.3390/s23187856
Chicago/Turabian Style
Lilhore, Umesh Kumar, Poongodi Manoharan, Sarita Simaiya, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Surjeet Dalal, Ashish Sharma, and Kaamran Raahemifar.
2023. "HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning" Sensors 23, no. 18: 7856.
https://doi.org/10.3390/s23187856
APA Style
Lilhore, U. K., Manoharan, P., Simaiya, S., Alroobaea, R., Alsafyani, M., Baqasah, A. M., Dalal, S., Sharma, A., & Raahemifar, K.
(2023). HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning. Sensors, 23(18), 7856.
https://doi.org/10.3390/s23187856
