Published in Sensors, 2021
IoT Security.
Recommended citation: Khan, M. A., Khan, M. A., Jan, S. U., Ahmad, J., Jamal, S. S., Shah, A. A., ... & Buchanan, W. J. (2021). A deep learning-based intrusion detection system for MQTT enabled IoT. Sensors, 21(21), 7016. https://www.mdpi.com/1424-8220/21/21/7016
Published in Conference, 2022
IoT Security
Recommended citation: Naz, N., Khan, M. A., Khan, M. A., Khan, M. A., Jan, S. U., Shah, S. A., ... & Ahmad, J. (2022, November). A Comparison of Ensemble Learning for Intrusion Detection in Telemetry Data. In The International Conference of Advanced Computing and Informatics (pp. 451-462). Cham: Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-031-36258-3_40
Published in Conference, 2022
IoT security.
Recommended citation: Naz, N., Khan, M. A., Alsuhibany, S. A., Diyan, M., Tan, Z., Khan, M. A., & Ahmad, J. (2022). Ensemble learning-based IDS for sensors telemetry data in IoT networks. Mathematical Biosciences and Engineering, 19(10). https://napier-repository.worktribe.com/output/2894905
Published in Internet of Things, 2023
IoT Security.
Recommended citation: Bakhsh, S. A., Khan, M. A., Ahmed, F., Alshehri, M. S., Ali, H., & Ahmad, J. (2023). Enhancing IoT network security through deep learning-powered Intrusion Detection System. Internet of Things, 24, 100936. https://www.sciencedirect.com/science/article/pii/S2542660523002597
Published:
Comming soon.
School of Computing, Department of Computer Sciences, FAST NUCES, 2023
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