Corrections to &#x201C;Deep Learning-Based Intrusion Detection Systems: A Systematic Review&#x201D;

Corrections to “Deep Learning-Based Intrusion Detection Systems: A Systematic Review”

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

Presents corrections to the paper, (Corrections to “Deep Learning-Based Intrusion Detection Systems: A Systematic Review”).

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639