Title :
Extracting Secrecy from Jointly Gaussian Random Variables
Author :
Ye, Chunxuan ; Reznik, Alex ; Shah, Yogendra
Author_Institution :
InterDigital Commun. Corp., King Of Prussia, PA
Abstract :
We present a method for secrecy extraction from jointly Gaussian random sources. The approach is motivated by and has applications in enhancing security for wireless communications. The problem is also found to be closely related to some well known lossy source coding problems
Keywords :
Gaussian processes; radiocommunication; random processes; source coding; telecommunication security; jointly Gaussian random variables; lossy source coding; secrecy extraction; wireless communication security; Cryptography; Data mining; Information theory; Quantization; Quantum entanglement; Quantum mechanics; Random variables; Security; Source coding; Wireless communication;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.262101
