Mixture-of-Experts Detector: Supplementary Material

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Authors: Livinus Obiora Nweke
Cited by: 0

Abstract

This repository contains the supplementary materials for the manuscript “Tail-Calibrated Mixture-of-Experts for Ultra-Low False Alarm Intrusion Detection in IEC 61850 Communications”. The supplement is intended to support reproducibility and transparent auditing of the paper’s methodology and results, with a particular focus on the proposed Mixture-of-Experts Detector and tail-calibration procedure. The current version includes additional experiments requested during peer-review process.

Fields of Study & Subjects

Smart Grid Security and Resilience Network Security and Intrusion Detection Adversarial Robustness in Machine Learning

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 February 2026
Language
EN