Low-Overhead Passive Resilience Monitoring for AIoT Gateways: End-to-End Anomaly Detection via eBPF Timing Traces and Autoencoders
Modern AIoT services are vulnerable to complex, cross-domain failures spanning wireless sensor networks, edge AI inference, and cloud reporting. Conventional monitoring typically relies on isolated single-node metrics that lack an integrated end-to-end perspective, or on exhaustive active probing th...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IEEE
2026-01-01
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| Saila: | IEEE Access |
| Gaiak: | |
| Sarrera elektronikoa: | https://ieeexplore.ieee.org/document/11483188/ |
| Etiketak: |
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