GMM Based Semi-Supervised Learning for Channel-Based Authentication Scheme

by N. Gulati, R. Greenstadt, K. R. Dandekar and J. M. Walsh

Reference:

N. Gulati, R. Greenstadt, K. R. Dandekar, J. M. Walsh, “GMM Based Semi-Supervised Learning for Channel-Based Authentication Scheme”, In 2013 IEEE 78th Vehicular Technology Conference (VTC Fall), pp. 1-6, 2013.

Bibtex Entry:

@INPROCEEDINGS{6692216, 
author={N. Gulati and R. Greenstadt and K. R. Dandekar and J. M. Walsh}, 
booktitle={2013 IEEE 78th Vehicular Technology Conference (VTC Fall)}, 
title={GMM Based Semi-Supervised Learning for Channel-Based Authentication Scheme}, 
year={2013}, 
volume={}, 
number={}, 
pages={1-6}, 
keywords={Gaussian processes;learning (artificial intelligence);message authentication;MIMO communication;mixture models;telecommunication computing;pattern diversity;complete apriori knowledge;Gaussian mixture model based semisupervised learning technique;higher layer security protocols;wireless physical layer channel information;channel-based authentication scheme;GMM based semisupervised learning;Channel estimation;Transmitters;Wireless communication;Receiving antennas;Wireless sensor networks}, 
doi={10.1109/VTCFall.2013.6692216}, 
ISSN={1090-3038}, 
month={Sept},}