Article
22 October 2021
Published
10.3390/s21217016
Edinburgh Napier Funded
Almas Khan, M., Khan, M. A., Ullah Jan, S., Ahmad, J., Jamal, S. S., Shah, A. A., …Markakis, E. K. (2021). A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT. Sensors, 21(21), Article 7016. https://doi.org/10.3390/s21217016
LecturerSchool of Computing Engineering and the Built Environment
0131 455 4790
S.Jan@napier.ac.uk
0131 455 3237
J.Ahmad@napier.ac.uk
Associate ProfessorSchool of Computing Engineering and the Built Environment
0131 455 2789
N.Pitropakis@napier.ac.uk
ProfessorSchool of Computing Engineering and the Built Environment
0131 455 2759
B.Buchanan@napier.ac.uk
MQTT; IDS; IoT; security; classification
1MB
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