pith:52WD4TZS
Enhancing Network Resilience via Graph-Based Anomaly Detection in Sovereign Functions
GSID detects protocol configuration anomalies by identifying structural inconsistencies in a bipartite graph linking physical entities to logical states.
arxiv:2605.17716 v1 · 2026-05-18 · cs.NI
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Claims
It is demonstrated experimentally that GSID outperforms state-of-the-art baselines by threefold in F1 score and by 23.2% in accuracy.
The bipartite graph constructed from physical network entities and logical protocol states is assumed to capture the relevant structural inconsistencies that correspond to actual configuration anomalies without significant missing relationships or noise.
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.
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| First computed | 2026-05-20T00:04:54.394111Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/52WD4TZS6ZQREV7ACTNQGD2RIR \
| jq -c '.canonical_record' \
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Canonical record JSON
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