Order Article Reprints

Albulayhi K, Abu Al-Haija Q, Alsuhibany SA, Jillepalli AA, Ashrafuzzaman M, Sheldon FT. IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method. Applied Sciences. 2022; 12(10):5015. https://doi.org/10.3390/app12105015

Albulayhi, Khalid, Qasem Abu Al-Haija, Suliman A. Alsuhibany, Ananth A. Jillepalli, Mohammad Ashrafuzzaman, and Frederick T. Sheldon. 2022. "IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method" Applied Sciences 12, no. 10: 5015. https://doi.org/10.3390/app12105015

Albulayhi, K., Abu Al-Haija, Q., Alsuhibany, S. A., Jillepalli, A. A., Ashrafuzzaman, M., & Sheldon, F. T. (2022). IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method. Applied Sciences, 12(10), 5015. https://doi.org/10.3390/app12105015