IEEE Access
(Jan 2024)
Corrections to “Deep Learning-Based Intrusion Detection Systems: A Systematic Review”
- Jan Lansky,
- Saqib Ali,
- Mokhtar Mohammadi,
- Mohammed Kamal Majeed,
- Sarkhel H. Taher Karim,
- Shima Rashidi,
- Mehdi Hosseinzadeh,
- Amir Masoud Rahmani
Affiliations
- Jan Lansky
- ORCiD
- Department of Computer Science and Mathematics, Faculty of Economic Studies, University of Finance and Administration, Prague, Czech Republic
- Saqib Ali
- ORCiD
- Department of Information Systems, College of Economics and Political Science, Sultan Qaboos University, Muscat, Oman
- Mokhtar Mohammadi
- ORCiD
- Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Erbil, Iraq
- Mohammed Kamal Majeed
- ORCiD
- Department of Information Technology, Tishk International University, Erbil, Iraq
- Sarkhel H. Taher Karim
- Computer Department, College of Science, University of Halabja, Halabja, Iraq
- Shima Rashidi
- Department of Computer Science, University of Human Development, Sulaymaniyah, Iraq
- Mehdi Hosseinzadeh
- ORCiD
- Pattern Recognition and Machine Learning Laboratory, School of Computing, Gachon University, Seongnam, Republic of Korea
- Amir Masoud Rahmani
- Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan
- DOI
-
https://doi.org/10.1109/ACCESS.2024.3474808
- Journal volume & issue
-
Vol. 12
pp.
150940
– 150940
Abstract
Read online
Presents corrections to the paper, (Corrections to “Deep Learning-Based Intrusion Detection Systems: A Systematic Review”).
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