A Q-learning-based QoS-aware multipath routing protocol in IoMT-based wireless body area network
2026-04-20T07:23:47Z•83ef2fcd7abc41cde77714e6ea9183f27c48f44226db8ffb98c87f703b8f3a21
HPC-congestionIoMTIoTLoRALoRaWANPEFTSWIPTWBANbackscatterdeterministic-schedulingedge-computingfederated-learningin-vehicle-networksradio-environment-mapsatellite-constellations
What happened
Collection of recent networking and IoT papers with multiple security-relevant implications. Highlights include: (1) IoMT/WBAN routing (Q-learning multipath) — safety- and privacy-sensitive medical telemetry that could be disrupted or manipulated via routing- and learning-stage attacks; (2) protocol-agnostic backscatter authentication for SWIPT/LoRaWAN — introduces a low-power identification layer but also surfaces replay, relay, and physical-layer cloning risks; (3) federated PEFT for wireless edge (LoRA/Fed-LoRA) — reduces communications overhead but raises model-poisoning and privacy-leak (
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- 83ef2fcd7abc41cde77714e6ea9183f27c48f44226db8ffb98c87f703b8f3a21
- Enrichment time
- 2026-04-20T07:23:47Z
- AI-assisted enrichment
- Yes
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