HIGHLIGHTS
- who: Tech Science Press and colleagues from the Department of Information Systems, College of Computer, King University, Abha, Saudi have published the research: Optimal Deep Learning Driven Intrusion Detection in SDN-Enabled IoT Environment, in the Journal: (JOURNAL)
- what: In this study, the HSAFS technique is exploited for feature selection. In the current study, a bottleneck is proposed in which an algorithm is enforced to learn how to demonstrate the compressed domains of the input dataset.
- how: A clear precision-recall analysis was conducted upon the HSAFS-OCAE method using the test dataset . . .
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