GSID applies an adaptive configuration encoder and inconsistency dynamic attention on bipartite graphs to detect protocol configuration anomalies, reporting threefold F1 improvement and 23.2% accuracy gain over baselines.
Graph neural networks for quality of service improvement in interference-limited ultra-reliable and low-latency communications,
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Enhancing Network Resilience via Graph-Based Anomaly Detection in Sovereign Functions
GSID applies an adaptive configuration encoder and inconsistency dynamic attention on bipartite graphs to detect protocol configuration anomalies, reporting threefold F1 improvement and 23.2% accuracy gain over baselines.