ST-Attention-XAI: Intrinsic Spatio-Temporal Explainability for IoT Intrusion Detection via Attention Analysis
- 21 July 2026
- book chapter
- Published by Springer Nature
- p. 388-413
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection2025
- Applying self-supervised learning to network intrusion detection for network flows with graph neural networkComputer Networks, 2024
- Embedding residuals in graph-based solutions: the E-ResSAGE and E-ResGAT algorithms. A case study in intrusion detectionApplied Intelligence, 2024
- Efficient Network Representation for GNN-Based Intrusion Detection2023
- RShield: A Refined Shield for Complex Multi-step Attack Detection Based on Temporal Graph Network2022
- EGAT: Edge-Featured Graph Attention Network2021
- Explainable artificial intelligence for digital forensicsWIREs Forensic Science, 2021
- NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems2021
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AIInformation Fusion, 2020
- Intrusion detection alarms reduction using root cause analysis and clusteringComputer Communications, 2009