C squared T-OpenMax: A Novel Open-Set WiFi RF Fingerprinting Method via Center Constrained Learning and Confidence-Guided Tail Modeling

arXiv:2609.02007 · cs.CR · Submitted 2026-09-02 · Read on arXiv

cs.CR

Submitted: 2026-09-02

Updated: 2026-09-02

Code: https://github.com/Oriseven/DeepCRF

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 20× in this paper · explained in 1 episode
AUROC — 17× in this paper · explained in 2 episodes
Fingerprinting — 12× in this paper · explained in 2 episodes
Contrastive Learning — 7× in this paper · explained in 5 episodes
Data Augmentation — 7× in this paper · explained in 7 episodes
Generalization — 5× in this paper · explained in 13 episodes
Ablation — 4× in this paper · explained in 1 episode
Ablation study — 2× in this paper · explained in 1 episode
Adaptation — 2× in this paper · explained in 1 episode
Core — 2× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Regularization — 1× in this paper · explained in 3 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Two-Stage Optimization — 1× in this paper · explained in 2 episodes

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