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  • https://doi.org/10.12732/ijam.v38i11s.1202Copy DOI Icon

Enhancing the Strict Avalanche Criteria for Speech Encryption through Systematic Analysis

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Abstract

By guaranteeing that a single input bit flip substantially changes the ciphertext, this paper propose a unique cryptographic architecture to improve the StrictAvalanche Criterion (SAC) in speech ciphers and strengthen security against cryptanalytic attacks. By using XOR operations to cumulatively mix plaintext segmentswith various secret keys, the method introduces non-linearity to produce a uniform bit distribution. The primary benefit is in its capacity to generate a balancedavalanche effect with a lower computational complexity, beyond the constraints ofconventional techniques. The effectiveness of the approach was assessed throughrandom secret keys and mixing levels of 2, 4, and 8 quantifying performance usingstandard cryptographic analysis. With a bit change rate of 49.93% for mixing level2, increasing to 50.035% for mixing level 4, and stabilizing at 50.04% for mixing level8, the results show a nearly optimal SAC, verifying scalability and efficiency. Theseresults show that by attaining robust SAC with consistent randomization, the suggested cumulative XOR technique greatly improves voice encryption systems. Thestrategy is expected to help secure communication applications and offers a promising direction for future study into simple, scalable cryptographic solution and itsperformance.

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