Umer, M.; Sadiq, S.; Karamti, H.; Alhebshi, R.M.; Alnowaiser, K.; Eshmawi, A.A.; Song, H.; Ashraf, I.
Deep Learning-Based Intrusion Detection Methods in Cyber-Physical Systems: Challenges and Future Trends. Electronics 2022, 11, 3326.
https://doi.org/10.3390/electronics11203326
AMA Style
Umer M, Sadiq S, Karamti H, Alhebshi RM, Alnowaiser K, Eshmawi AA, Song H, Ashraf I.
Deep Learning-Based Intrusion Detection Methods in Cyber-Physical Systems: Challenges and Future Trends. Electronics. 2022; 11(20):3326.
https://doi.org/10.3390/electronics11203326
Chicago/Turabian Style
Umer, Muhammad, Saima Sadiq, Hanen Karamti, Reemah M. Alhebshi, Khaled Alnowaiser, Ala’ Abdulmajid Eshmawi, Houbing Song, and Imran Ashraf.
2022. "Deep Learning-Based Intrusion Detection Methods in Cyber-Physical Systems: Challenges and Future Trends" Electronics 11, no. 20: 3326.
https://doi.org/10.3390/electronics11203326
APA Style
Umer, M., Sadiq, S., Karamti, H., Alhebshi, R. M., Alnowaiser, K., Eshmawi, A. A., Song, H., & Ashraf, I.
(2022). Deep Learning-Based Intrusion Detection Methods in Cyber-Physical Systems: Challenges and Future Trends. Electronics, 11(20), 3326.
https://doi.org/10.3390/electronics11203326