DocumentCode :
717866
Title :
Secret Key Generation Based on AoA Estimation for Low SNR Conditions
Author :
Badawy, Ahmed ; Khattab, Tamer ; El-Fouly, Tarek ; Mohamed, Amr ; Trinchero, Daniele ; Chiasserini, Carla-Fabiana
fYear :
2015
fDate :
11-14 May 2015
Firstpage :
1
Lastpage :
7
Abstract :
In the context of physical layer security, a physical layer characteristic is used as a common source of randomness to generate the secret key. Therefore an accurate estimation of this characteristic is the core for reliable secret key generation. Estimation of almost all the existing physical layer characteristic suffer dramatically at low signal to noise (SNR) levels. In this paper, we propose a novel secret key generation algorithm that is based on the estimated angle of arrival (AoA) between the two legitimate nodes. Our algorithm has an outstanding performance at very low SNR levels. Our algorithm can exploit either the Azimuth AoA to generate the secret key or both the Azimuth and Elevation angles to generate the secret key. Exploiting a second common source of randomness adds an extra degree of freedom to the performance of our algorithm. We compare the performance of our algorithm to the algorithm that uses the most commonly used characteristics of the physical layer which are channel amplitude and phase. We show that our algorithm has a very low bit mismatch rate (BMR) at very low SNR when both channel amplitude and phase based algorithm fail to achieve an acceptable BMR.
Keywords :
channel estimation; direction-of-arrival estimation; error statistics; private key cryptography; telecommunication security; wireless channels; AoA estimation; BMR; SNR; SNR condition; angle of arrival; azimuth angle; bit mismatch rate; channel amplitude based algorithm; channel phase based algorithm; degree of freedom; elevation angle; legitimate nodes; physical layer characteristic; physical layer security; secret key generation; secret key generation algorithm; signal to noise level; Arrays; Azimuth; Estimation; Multiple signal classification; Physical layer; Quantization (signal); Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
Conference_Location :
Glasgow
Type :
conf
DOI :
10.1109/VTCSpring.2015.7146072
Filename :
7146072
Link To Document :
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