Network Intrusion Forensic Detection System with Explainable Artificial Intelligence and Digital Chain of Custody
Framework adds digital chain-of-custody and explainability guarantees to intrusion-detection models, bridging the gap between lab benchmarks and forensic admissibility.
Summary written by editorial AI · Source link below
arXiv:2611.06173v1 Announce Type: new Abstract: Deploying an explainable intrusion detection model from a validated laboratory setting into a forensic workflow requires guarantees that benchmarks do not test: that the certified model is the exact artifact applied to a case, that heterogeneous evidence can be classified reliably, and that every step is verifiable. We present MODEXRE, a forensic pipeline that extends a previously validated synthetic-data-trained XGBoost classifier with SHAP expla
Editorial Analysis
Regulatory and legal scrutiny of automated detection evidence is growing; enterprises need forensic-grade integrity and explainability for IDS outputs used in proceedings.
Evaluate whether your IDS outputs carry sufficient provenance and explainability metadata to withstand regulatory or legal challenge.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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