Fully Unsupervised Detection of Physical Contacts on Subsea Cables via State-of-Polarization Monitoring
2026-07-03T07:23:54Z•7a91b618d861840cbe5d7558ff31c3a05b601978ab00b0cf99b23d5d43396001
AI/ML securityAgent2Agent (A2A)CSIDDSEU AI ActGuard Rail ValidationLLM/SLM in networkingModel Context Protocol (MCP)Near-RT RICO-RANRF jammingROS 2Reconfigurable Intelligent Surface (RIS)Smart-TCPZenohadversarial MLagentic AIdata poisoningmobile core networkmodel integrityprotocol securityrobotics middlewareruntime validationsubsea cable monitoringxApp
What happened
This collection highlights emerging research that embeds AI/ML across critical communications and robotic infrastructure (Near-RT RIC xApps, O-RAN, mobile core networks, Smart-TCP, agentic agents, ROS 2 middleware, RIS-assisted systems) and sensors (CSI, subsea cable polarization monitoring). Security-relevant points: (1) deploying models inside real-time control loops (xApps, Smart-TCP, agentic core agents) creates new runtime attack surfaces—non-determinism, poisoning, evasion, and unauthorized actions—while deterministic C inference and the proposed Guard Rail Validation (GRV) framework are
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- 7a91b618d861840cbe5d7558ff31c3a05b601978ab00b0cf99b23d5d43396001
- Enrichment time
- 2026-07-03T07:23:54Z
- AI-assisted enrichment
- Yes
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