Mar 17, 2016 · In this paper, we study both topological and algebraic properties of unrooted Gaussian trees in order to characterize their security ...
Abstract—In this paper, we study both topological and algebraic properties of unrooted Gaussian trees in order to characterize their security performance.
Extractable Common Randomness From Gaussian Trees: Topological and Algebraic Perspectives. Ali Moharrer, Shuangqing Wei, George T. Amariucai, Jing Deng.
Extractable Common Randomness From Gaussian Trees: Topological and Algebraic Perspectives. Article. Oct 2016. Ali Moharrer · Shuangqing Wei · George ...
... Extractable Common Randomness from Gaussian Trees: Topological and Algebraic; Perspectives, IEEE Transactions on Information Forensics and Security. 2012 ...
Apr 10, 2015 · Such metric quantifies the amount of common randomness extractable through public discussion between two legitimate nodes under an eavesdropper ...
Wei, G. Amariucai, and J. Deng, "Extractable Common Randomness from Gaussian Trees: Topological and Algebraic Perspectives," IEEE Transactions on Forensics & ...
Sep 27, 2023 · Extractable Common Randomness From Gaussian Trees: Topological and Algebraic Perspectives. IEEE Trans. Inf. Forensics Secur. 11(10): 2312 ...
Extractable common randomness from gaussian trees: Topological and algebraic perspectives ... algebraic properties for classifying unrooted Gaussian trees under ...
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