Paper Citation Record · LEDGER

Edge AI-based Radio Frequency Fingerprinting for IoT Networks

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2412.10553.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.10553 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:54:49.673900Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:15:51.660979Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T21:15:52.624949Z

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy35
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05d5edf6-7dfa-41b7-b7ab-a7f80dbbbcf5 · outbound

This paper cites Internet of things: A survey on enabling technologies, JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. XX, DECEMBER 2024 10 protocols, and applications,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Internet of things: A survey on enabling technologies, JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. XX, DECEMBER 2024 10 protocols, and applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.366580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf21a84d-7b8f-41eb-af67-935c1d0bb6a6 · outbound

This paper cites HarvestPrint: Securing Battery-Free Backscatter Tags through Fingerprinting,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks HarvestPrint: Securing Battery-Free Backscatter Tags through Fingerprinting,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.521874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7345304b-a294-4d75-9a45-dbb283b29882 · outbound

This paper cites Security in energy harvesting networks: A survey of current solutions and research chal- lenges,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Security in energy harvesting networks: A survey of current solutions and research chal- lenges,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.353878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05667cb9-fcd0-4c10-9602-e0eca02a5a46 · outbound

This paper cites A review of radio frequency fingerprinting techniques,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks A review of radio frequency fingerprinting techniques,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.529781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e0e9506-afbd-498d-a7e6-05b2f0c7e5b4 · outbound

This paper cites A secure and private authentication based on radio frequency fingerprinting,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks A secure and private authentication based on radio frequency fingerprinting,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.334379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 159f8009-8784-483f-a3bb-14c620e6933f · outbound

This paper cites Radio frequency fingerprinting via deep learning: Challenges and opportunities,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Radio frequency fingerprinting via deep learning: Challenges and opportunities,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.537486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea6b0ae-4e58-43d8-80ee-e6817fa7c27b · outbound

This paper cites Radio frequency fingerprinting on the edge,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Radio frequency fingerprinting on the edge,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.316760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3115e240-7d4f-4df1-8ce5-d7c663ccaf97 · outbound

This paper cites Radio-frequency fingerprinting for distributed iot networks: Authentication and qos optimization,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Radio-frequency fingerprinting for distributed iot networks: Authentication and qos optimization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.305080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 439eabf7-f2b8-4827-8bd9-0f645c541b2a · outbound

This paper cites Deep residual learning for image recognition,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Deep residual learning for image recognition,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.548634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5787fa5-88b1-4e4b-b636-e5a38d19741f · outbound

This paper cites Wisig: A large-scale wifi signal dataset for receiver and channel agnostic rf fingerprinting,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Wisig: A large-scale wifi signal dataset for receiver and channel agnostic rf fingerprinting,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.287574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a6c96054-6a5b-4447-a61b-a3d983da7dad · outbound

This paper cites Review of deep learning: concepts, cnn architectures, challenges, applications, future directions,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Review of deep learning: concepts, cnn architectures, challenges, applications, future directions,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.555351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bf33ad3-4b2c-4ba0-9075-5907056a02f8 · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks An Introduction to Convolutional Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.558636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca632e29-7e83-4911-9ac3-7ce61d121287 · outbound

This paper cites Attention is all you need,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Attention is all you need,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.562394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 984b67aa-3bb8-4fd6-b57e-960c39618c08 · outbound

This paper cites Edge in- telligence for empowering iot-based healthcare systems,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Edge in- telligence for empowering iot-based healthcare systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.261912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 817fe7dd-28ae-4ebc-be31-94c2f205a8f6 · outbound

This paper cites Survey on recent smart gateways for smart home: Systems, technologies, and chal- lenges,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Survey on recent smart gateways for smart home: Systems, technologies, and chal- lenges,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.250709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9afc8175-4cef-4f51-885a-2b7cb37a6012 · outbound

This paper cites Enabling technologies for urban smart mobility: Recent trends, opportunities and challenges,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Enabling technologies for urban smart mobility: Recent trends, opportunities and challenges,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.238834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82ac805c-5cc5-4ed3-b570-1d38198355e9 · outbound

This paper cites Edge ai: a survey,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Edge ai: a survey,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.226751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bde01006-63b7-4fa8-b1e2-7d44ac384176 · outbound

This paper cites Pruning and quantization for deep neural network acceleration: A survey,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Pruning and quantization for deep neural network acceleration: A survey,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.578596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b545de1d-e168-4949-9055-9163358d3eb7 · outbound

This paper cites Distinguishable iq feature represen- tation for domain-adaptation learning of wifi device fingerprints,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Distinguishable iq feature represen- tation for domain-adaptation learning of wifi device fingerprints,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.209390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 332e7200-d997-4fa7-bd41-5ce82894a9d2 · outbound

This paper cites A needle in a haystack: Distinguishable deep neural network features for domain-agnostic device fingerprinting,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks A needle in a haystack: Distinguishable deep neural network features for domain-agnostic device fingerprinting,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.199142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1cf3b9d9-b1b4-4154-95c6-e2d1a25d0148 · outbound

This paper cites Recent advances in open set recognition: A survey,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Recent advances in open set recognition: A survey,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.189666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9976095-d218-4795-86fd-f30f51fbe06c · outbound

This paper cites Radio frequency fingerprint authentication based on feature fusion and contrastive learning,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Radio frequency fingerprint authentication based on feature fusion and contrastive learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.178868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 079c94bd-b80c-4283-a9cb-0203d14e5dda · outbound

This paper cites (2024) TensorFlow.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks (2024) TensorFlow

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.168491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6427a6c4-f222-47e6-86b5-bf7759821113 · outbound

This paper cites (2024) Keras.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks (2024) Keras

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.157927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d4073b8-5534-4b09-a968-a90e49436f0c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Adam: A Method for Stochastic Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.603456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a16581c-652b-4aea-8020-0ddf1947d001 · outbound

This paper cites (2024) Adam Optimizer.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks (2024) Adam Optimizer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.147422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25698ada-4bf0-4ecd-bc7d-d443daaa3a64 · outbound

This paper cites Jamming detection in iot wireless networks: An edge-ai based approach,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Jamming detection in iot wireless networks: An edge-ai based approach,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:54:49.611086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bb504f1-d20f-4f63-9ea6-47f76c57438b · outbound

This paper cites (2024) TFLite Optimize.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks (2024) TFLite Optimize

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.136672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab160c9d-0b48-48ea-8410-489bc0ab9bc2 · outbound

This paper cites Artificial intelligence- powered mobile edge computing-based anomaly detection in cellular networks,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Artificial intelligence- powered mobile edge computing-based anomaly detection in cellular networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.125906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b03d9ec5-db7b-47c4-9fcf-2e1a7900f7df · outbound

This paper cites Fogai: An ai-supported fog controller for next generation iot,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Fogai: An ai-supported fog controller for next generation iot,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.114088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 583cda53-635a-483d-b36f-5b2786fc7942 · outbound

This paper cites Security threats and artificial intelligence based countermeasures for internet of things networks: A comprehensive survey,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Security threats and artificial intelligence based countermeasures for internet of things networks: A comprehensive survey,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.103216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44eeebf5-f49e-4e47-bfff-eb4f0b6915ec · outbound

This paper cites A review on tinyml: State-of-the-art and prospects,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks A review on tinyml: State-of-the-art and prospects,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.092216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4406332-6a6e-41f1-a52a-84b64d695055 · outbound

This paper cites A transformer-based multi- feature extraction neural network for bluetooth devices identification,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks A transformer-based multi- feature extraction neural network for bluetooth devices identification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.081598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f19895ad-ded1-4072-ad15-b6c9a6df67e7 · outbound

This paper cites Lightweight cnn-based rf fingerprint recognition method,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Lightweight cnn-based rf fingerprint recognition method,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.069880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd19c53e-0465-41b5-b25b-079e9e8ce71b · outbound

This paper cites Optimized coherent integration-based radio frequency fingerprinting in internet of things,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Optimized coherent integration-based radio frequency fingerprinting in internet of things,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.059596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39d9c632-23f8-4389-b44d-e883ac7431a5 · outbound

This paper cites A convolutional neural network-based rf fingerprinting identification scheme for mobile phones,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks A convolutional neural network-based rf fingerprinting identification scheme for mobile phones,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.048396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84cd7a5b-41b7-4fe5-9b1e-3f84ab5c7c2a · outbound

This paper cites Radio fre- quency fingerprint authentication based on feature fusion and contrastive learning,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Radio fre- quency fingerprint authentication based on feature fusion and contrastive learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.037571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 870a4159-ac26-4dae-9007-6b455e89d8a2 · outbound

This paper cites Radio frequency fingerprint identification for lora using deep learning,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Radio frequency fingerprint identification for lora using deep learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.026711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 044f6066-76e6-4157-89b6-d04f10f3a1c8 · outbound

This paper cites Radio frequency fingerprint identification based on deep complex residual network,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Radio frequency fingerprint identification based on deep complex residual network,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.015113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54e31346-4049-4768-9994-b4199abe1b62 · outbound

This paper cites Radio frequency fingerprint identification for security in low-cost iot devices,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Radio frequency fingerprint identification for security in low-cost iot devices,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:50.001915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bfd4c32d-65a9-4459-b6b3-f2dcd43764f2 · outbound

This paper cites Towards scalable and channel-robust radio frequency fingerprint identification for lora,.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Towards scalable and channel-robust radio frequency fingerprint identification for lora,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:49.990353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f2b3f29-a32d-4dd8-b675-59e562558c61 · outbound

This paper cites Raspberry Pi 4 Model B.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Raspberry Pi 4 Model B

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:49.978822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c686db4-febc-4628-8d58-24a688e7afd2 · outbound

This paper cites Espressif ESP32 DevKitC.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Espressif ESP32 DevKitC

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:49.955475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 147b4bc1-1f96-4f91-8f93-4d6be372550e · outbound

This paper cites (2024) Coral.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks (2024) Coral

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:49.943457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a79b33f-14eb-4e21-9850-c48907fad3bc · outbound

This paper cites Available: https://www.raspberrypi.com/products/ raspberry-pi-4-model-b/.

Edge AI-based Radio Frequency Fingerprinting for IoT Networks Available: https://www.raspberrypi.com/products/ raspberry-pi-4-model-b/

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:54:49.967462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 39c9c1fa-e021-499b-a9e2-fa39019a4d78 · inbound

AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons cites this paper.

AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons Edge AI-based Radio Frequency Fingerprinting for IoT Networks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:15:52.632259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3e3b672f-9a18-4de1-984f-08bb6d61ff44 · inbound

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection cites this paper.

Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection Edge AI-based Radio Frequency Fingerprinting for IoT Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T15:51:27.995607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.