Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning
Jan 1, 2025·,,,,·
1 min read
Huynh TT Tran
Jacob Sander
Achraf Cohen
Brian Jalaian
Nathaniel D Bastian
Abstract
This paper extends ODXU, a Neurosymbolic AI framework that integrates deep embedded clustering for feature extraction, symbolic reasoning using XGBoost, and comprehensive uncertainty quantification for robust network intrusion detection.
Type
Publication
arXiv preprint arXiv:2506.04454
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