HIGHLIGHTS
- who: Tech Science Press and collaborators from the Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia have published the Article: Blockchain Assisted Intrusion Detection System Using Differential Flower Pollination Model, in the Journal: (JOURNAL)
- how: This paper presents new Blockchain Assisted Intrusion Detection System using Differential Flower Pollination with Deep Learning (BAIDS-DFPDL) model in IoT Environment. The extracted feature from initial demonstration RBM is utilized to train in the following RBM and lastly back-propagation of error can be implemented.
SUMMARY . . .
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