Machine Learning-Based Security Authentication for IoT Networks
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-69514-9_10
Reference15 articles.
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2. Xu, T., Darwazeh, I.: Design and prototyping of neural network compression for non-orthogonal IoT signals. In: IEEE Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco, vol. 2019, pp. 1–6 (2019)
3. Xu, T.: Waveform-defined security: a framework for secure communications. In: IEEE/IET 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP2020), Porto, Portugal (2020)
4. Wang, N., Wang, P., Alipour-Fanid, A., Jiao, L., Zeng, K.: Physical-layer security of 5G wireless networks for IoT: challenges and opportunities. IEEE Internet Things J. 6(5), 8169–8181 (2019)
5. Wang, N., Jiao, L., Alipour-Fanid, A., Dabaghchian, M., Zeng, K.: Pilot contamination attack detection for NOMA in 5G mm-wave massive MIMO networks. IEEE Trans. Inf. Forensics Secur. 15, 1363–1378 (2020)
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