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About this paper
Subash Neupane, Jesse Ables, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale
The authors review explainable intrusion detection systems and propose a taxonomy and human-in-the-loop design guide. They distinguish intrinsically interpretable white-box models from black-box models paired with post-hoc explainers, and outline a workflow for generating, evaluating, and presenting explanations to analysts. The survey recommends audience-specific explanations and evaluation, but does not test the architecture or demonstrate improved operational outcomes.
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