A Machine-Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT
Funding Number
IB2018-7469
Funding Sponsor
Swedish Foundation for International Cooperation in Research and Higher Education
Author's Department
Electronics & Communications Engineering Department
Find in your Library
https://doi.org/10.1109/JIOT.2020.2991693
Document Type
Research Article
Publication Title
IEEE Internet of Things Journal
Publication Date
9-1-2020
doi
10.1109/JIOT.2020.2991693
First Page
8462
Last Page
8471
Recommended Citation
APA Citation
Aboelwafa, M.
Seddik, K.
Eldefrawy, M.
Gadallah, Y.
&
Gidlund, M.
(2020). A Machine-Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT. IEEE Internet of Things Journal, 7(9), 8462–8471.
10.1109/JIOT.2020.2991693
https://fount.aucegypt.edu/faculty_journal_articles/1434
MLA Citation
Aboelwafa, Mariam M.N., et al.
"A Machine-Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT." IEEE Internet of Things Journal, vol. 7,no. 9, 2020, pp. 8462–8471.
https://fount.aucegypt.edu/faculty_journal_articles/1434