Ahmed, N.; Ngadi, A.b.; Sharif, J.M.; Hussain, S.; Uddin, M.; Rathore, M.S.; Iqbal, J.; Abdelhaq, M.; Alsaqour, R.; Ullah, S.S.;
et al. Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction. Sensors 2022, 22, 7896.
https://doi.org/10.3390/s22207896
AMA Style
Ahmed N, Ngadi Ab, Sharif JM, Hussain S, Uddin M, Rathore MS, Iqbal J, Abdelhaq M, Alsaqour R, Ullah SS,
et al. Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction. Sensors. 2022; 22(20):7896.
https://doi.org/10.3390/s22207896
Chicago/Turabian Style
Ahmed, Naveed, Asri bin Ngadi, Johan Mohamad Sharif, Saddam Hussain, Mueen Uddin, Muhammad Siraj Rathore, Jawaid Iqbal, Maha Abdelhaq, Raed Alsaqour, Syed Sajid Ullah,
and et al. 2022. "Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction" Sensors 22, no. 20: 7896.
https://doi.org/10.3390/s22207896
APA Style
Ahmed, N., Ngadi, A. b., Sharif, J. M., Hussain, S., Uddin, M., Rathore, M. S., Iqbal, J., Abdelhaq, M., Alsaqour, R., Ullah, S. S., & Zuhra, F. T.
(2022). Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction. Sensors, 22(20), 7896.
https://doi.org/10.3390/s22207896
