Machine Learning Based Protocol Classification in Unlicensed 5 GHz Bands
Author:
Affiliation:
1. University of Arizona,Dept. Electrical & Computer Engineering,Tucson,AZ
Funder
Army Research Office
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9813727/9813734/09814675.pdf?arnumber=9814675
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20
2. CyPA: A Cyclic Prefix Assisted DNN for Protocol Classification in Shared Spectrum;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19
3. Stealthy Adversarial Attacks on Machine Learning-Based Classifiers of Wireless Signals;IEEE Transactions on Machine Learning in Communications and Networking;2024
4. DeepDeMod: BPSK Demodulation Using Deep Learning Over Software-Defined Radio;IEEE Access;2022
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