A hybrid interpretable deep structure based on adaptive neuro‑fuzzy inference system, decision tree, and K‑means for intrusion detection

• Main Authors: Jia, Lu, Yin Chai, Wang, Chee Siong, Teh, Xinjin, Li, Liping, Zhao, Fengrui, Wei
• Format: Article
• Language: English
• Published: Springer Nature Limited 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/40838/1/A%20hybrid...pdf; http://ir.unimas.my/id/eprint/40838/; https://www.nature.com/articles/s41598-022-23765-x; https://doi.org/10.1038/s41598-022-23765-x

For generating an interpretable deep architecture for identifying deep intrusion patterns, this study proposes an approach that combines ANFIS (Adaptive Network-based Fuzzy Inference System) and DT (Decision Tree) for interpreting the deep pattern of intrusion detection. Meanwhile, for improving the...