HIGHLIGHTS
- who: Shaymaa Mahmood Naser et al. from the Science Department, University of Technology, Baghdad, Iraq Faculty of Engineering and Technology, Liverpool John Moores University, UK have published the research work: International Journal of Online and Biomedical Engineering (iJOE) - eISSN: 2626-8493 - Vol 18 No 11 (2022), in the Journal: (JOURNAL)
- what: In this paper a cyber-attacks detection system is proposed based on an intelligent hybrid model that uses deep and machine learning technologies. 3.3 Proposed deep learning model for feature extraction stage It should be highlighted that the utmost contribution of this work . . .
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