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pro vyhledávání: '"Amouri, Amar"'
In recent years, the evolution of machine learning techniques has significantly impacted the field of intrusion detection, particularly within the context of the Internet of Things (IoT). As IoT networks expand, the need for robust security measures
Externí odkaz:
http://arxiv.org/abs/2408.15886
Publikováno v:
In Procedia Computer Science 2018 145:13-19
Autor:
Amouri, Amar1 aamouri@mail.usf.edu, Alaparthy, Vishwa T.1 vishwa.alaparthy@duke.edu, Morgera, Salvatore D.1 sdmorgera@usf.edu
Publikováno v:
Sensors (14248220). 1/15/2020, Vol. 20 Issue 2, p1-15. 15p.
Autor:
Amouri, Amar1 aamouri@mail.usf.edu, D. Morgera, Salvatore1 sdmorgera@usf.edu, A. Bencherif, Mohamed2 mabencherif@ksu.edu.sa, Manthena, Raju3 raju.l.manthena@jpl.nasa.gov
Publikováno v:
Sensors (14248220). Feb2018, Vol. 18 Issue 2, p651. 17p. 2 Diagrams, 15 Charts, 6 Graphs.
Autor:
Amouri, Amar, Jaimes, Luis G., Manthena, Raju, Morgera, Salvatore D., Vergara-Laurens, Idalides J.
Publikováno v:
2015 7th IEEE Latin-American Conference on Communications (LATINCOM); 2015, p1-6, 6p