Abdelmoumin, Ghada, Rawat, Danda B., and Rahman, Abdul. On the Performance of Machine Learning Models for Anomaly-Based Intelligent Intrusion Detection Systems for the Internet of Things. Retrieved from https://par.nsf.gov/biblio/10337354. IEEE Internet of Things Journal 9.6 Web. doi:10.1109/JIOT.2021.3103829.

Abdelmoumin, Ghada, Rawat, Danda B., & Rahman, Abdul. On the Performance of Machine Learning Models for Anomaly-Based Intelligent Intrusion Detection Systems for the Internet of Things. IEEE Internet of Things Journal, 9 (6). Retrieved from https://par.nsf.gov/biblio/10337354. https://doi.org/10.1109/JIOT.2021.3103829

Abdelmoumin, Ghada, Rawat, Danda B., and Rahman, Abdul. "On the Performance of Machine Learning Models for Anomaly-Based Intelligent Intrusion Detection Systems for the Internet of Things". IEEE Internet of Things Journal 9 (6). Country unknown/Code not available. https://doi.org/10.1109/JIOT.2021.3103829. https://par.nsf.gov/biblio/10337354.

@article{osti_10337354,
place = {Country unknown/Code not available}, title = {On the Performance of Machine Learning Models for Anomaly-Based Intelligent Intrusion Detection Systems for the Internet of Things}, url = {https://par.nsf.gov/biblio/10337354}, DOI = {10.1109/JIOT.2021.3103829}, abstractNote = {}, journal = {IEEE Internet of Things Journal}, volume = {9}, number = {6}, author = {Abdelmoumin, Ghada and Rawat, Danda B. and Rahman, Abdul}, }