On the combination of adaptive neuro-fuzzy inference system and deep residual network for improving detection rates on intrusion detection
Deep Residual Networks (ResNets) are prone to overfitting in problems with uncertainty, such as intrusion detection problems. To alleviate this problem, we proposed a method that combines the Adaptive Neuro-fuzzy Inference System (ANFIS) and the ResNet algorithm. This method can make use of the a...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PLOS
2022
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/40875/1/PLOS%20ONE.pdf http://ir.unimas.my/id/eprint/40875/ https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0278819 https://doi.org/10.1371/journal.pone.0278819 |
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