Why is Deep Random suitable for cryptology
Thibault de Valroger

TL;DR
This paper introduces Deep Randomness, a new form of randomness that enhances cryptographic protocols by making output distributions unknowledgeable to observers, enabling secure communication beyond Shannon limits.
Contribution
The paper develops the theoretical foundation of Deep Randomness based on prior probability theory and introduces computational methods to generate it, along with improved protocols and security analysis.
Findings
Deep Randomness limits opponent inference capabilities.
Protocols based on Deep Randomness achieve near-perfect secrecy.
Enhanced security and performance in cryptographic protocols.
Abstract
We present a new form of randomness, called Deep Randomness, generated in such a way that probability distribution of the output signal is made unknowledgeable for an observer. By limiting, thanks to Deep Randomness, the capacity of the opponent observer to perform bayesian inference over public information to estimate private information, we can design protocols, beyond Shannon limit, enabling two legitimate partners, sharing originally no common private information, to exchange secret information with accuracy as close as desired from perfection, and knowledge as close as desired from zero by any unlimitedly powered opponent. We discuss the theoretical foundation of Deep Randomness, which lies on Prior Probability theory, introduced and developped by authors like Laplace, Cox, Carnap, Jefferys and Jaynes ; and we introduce computational method to generate such Deep Randomness. V2:…
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