Efficient Generative Wireless Anomaly Detection for Next Generation Networks
Author:
Affiliation:
1. Virginia Tech,Blacksburg,VA
2. Stevens Institute of Technology,Hoboken,NJ
3. Virginia Tech,Arlington,VA
4. DeepSig Inc & Virginia Tech,Arlington,VA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10017432/10017302/10017520.pdf?arnumber=10017520
Reference26 articles.
1. ALDO: An Anomaly Detection Framework for Dynamic Spectrum Access Networks
2. Spectrum anomalies autonomous detection in cognitive radio using Hidden Markov Models
3. SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features
4. Deep Predictive Coding Neural Network for RF Anomaly Detection in Wireless Networks
5. A Wideband Signal Recognition Dataset
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1. At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence;IEEE Open Journal of the Communications Society;2024
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