The article solves the urgent problem of generating crypto-resistant pseudorandom sequences (PRS) to ensure the cybersecurity of modern digital systems. PRS generators play a key role in the formation of encryption keys, initialization vectors, one-time authentication tokens, and other critical parameters of cryptographic protocols. Insufficient crypto-resistance of such generators can lead to the compromise of reliable protocols, which emphasizes the need to develop new methods that overcome the limitations of traditional deterministic approaches. Among these limitations are the predictability of sequences in the event of disclosure of the internal state, limited entropy of initial values, vulnerability to statistical attacks, and the absence of true randomness, which reduces efficiency in cryptographic applications. The article proposes and implements a practical scheme for constructing a hybrid pseudorandom sequence generator that combines audio entropy and nonlinear Boolean functions in algebraic normal form (ANF). The architecture is based on the dynamic synthesis of output sequences of modified Jiffy generators using ANF functions with high nonlinearity, which are generated r
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