Ullah, S.; Ahmad, J.; Khan, M.A.; Alkhammash, E.H.; Hadjouni, M.; Ghadi, Y.Y.; Saeed, F.; Pitropakis, N.
A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering. Sensors 2022, 22, 3607.
https://doi.org/10.3390/s22103607
AMA Style
Ullah S, Ahmad J, Khan MA, Alkhammash EH, Hadjouni M, Ghadi YY, Saeed F, Pitropakis N.
A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering. Sensors. 2022; 22(10):3607.
https://doi.org/10.3390/s22103607
Chicago/Turabian Style
Ullah, Safi, Jawad Ahmad, Muazzam A. Khan, Eman H. Alkhammash, Myriam Hadjouni, Yazeed Yasin Ghadi, Faisal Saeed, and Nikolaos Pitropakis.
2022. "A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering" Sensors 22, no. 10: 3607.
https://doi.org/10.3390/s22103607
APA Style
Ullah, S., Ahmad, J., Khan, M. A., Alkhammash, E. H., Hadjouni, M., Ghadi, Y. Y., Saeed, F., & Pitropakis, N.
(2022). A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering. Sensors, 22(10), 3607.
https://doi.org/10.3390/s22103607