DocumentCode
1549231
Title
Exploiting Channel Diversity in Secret Key Generation From Multipath Fading Randomness
Author
Liu, Yanpei ; Draper, Stark C. ; Sayeed, Akbar M.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Wisconsin, Madison, WI, USA
Volume
7
Issue
5
fYear
2012
Firstpage
1484
Lastpage
1497
Abstract
We design and analyze a method to extract secret keys from the randomness inherent to wireless channels. We study a channel model for a multipath wireless channel and exploit the channel diversity in generating secret key bits. We compare the key extraction methods based both on entire channel state information (CSI) and on single channel parameter such as the received signal strength indicators (RSSI). Due to the reduction in the degree-of-freedom when going from CSI to RSSI, the rate of key extraction based on CSI is far higher than that based on RSSI. This suggests that exploiting channel diversity and making CSI information available to higher layers would greatly benefit the secret key generation. We propose a key generation system based on low-density parity-check (LDPC) codes and describe the design and performance of two systems: one based on binary LDPC codes and the other (useful at higher signal-to-noise ratios) based on four-ary LDPC codes.
Keywords
cryptography; multipath channels; parity check codes; telecommunication security; wireless channels; CSI; LDPC; RSSI; channel diversity; channel state information; key extraction methods; low-density parity-check codes; multipath fading randomness; multipath wireless channel; received signal strength indicators; secret key generation; single channel parameter; Communication system security; Fading; Multipath channels; OFDM; Parity check codes; Random variables; Wireless communication; Channel diversity; LDPC codes; Slepian–Wolf decoder; common randomness; secret key generation;
fLanguage
English
Journal_Title
Information Forensics and Security, IEEE Transactions on
Publisher
ieee
ISSN
1556-6013
Type
jour
DOI
10.1109/TIFS.2012.2206385
Filename
6226870
Link To Document