ITCRFeb 13, 2020

Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach

arXiv:2002.05691v13 citations
AI Analysis

This work addresses secure communication protocols in cryptography, offering incremental improvements in capacity analysis for specific CDS instances.

The paper tackles the conditional disclosure of secrets (CDS) problem by characterizing conditions for achieving the highest capacity of 1/2 and showing a linear capacity of 2/5 for a simpler case, providing concrete bounds on secure communication efficiency.

In the conditional disclosure of secrets (CDS) problem, Alice and Bob (each holds an input and a common secret) wish to disclose, as efficiently as possible, the secret to Carol if and only if their inputs satisfy some function. The capacity of CDS is the maximum number of bits of the secret that can be securely disclosed per bit of total communication. We characterize the necessary and sufficient condition for the extreme case where the capacity of CDS is the highest and is equal to 1/2. For the simplest instance where the capacity is smaller than 1/2, we show that the linear capacity is 2/5.

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