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MusicoCrypt: A Music-Modulated Stream Cipher Using Deep Pitch Estimation and Number-Theoretic Dynamics

dc.contributor.authorTuran, Cilen Gulsum
dc.contributor.authorKeskin, Fesih
dc.contributor.authorIsik, Gultekin
dc.date.accessioned2026-10-23T18:14:14Z
dc.date.available2026-10-23T18:14:14Z
dc.date.issued2026
dc.departmentSiirt Üniversitesi
dc.description.abstractThis paper presents MusicoCrypt, a context-bound music-modulated stream-encryption framework that incorporates audio-derived public side information into a pseudorandom-function-centered encryption workflow. A shared reference recording is processed using a pitch-tracking pipeline, and ordered note pairs are encoded as residues in to form a contextual carrier. We first analyze MusicoCrypt-Core, a raw affine construction in which HMAC-SHA256-derived table indices select Happy-number and Collatz-based coefficients for carrier modulation. Motivated by the observed statistical bias of this raw affine stream, we introduce MusicoCrypt-W, a bias-resistant variant in which the audio-derived carrier and affine residue are used as domain-separated inputs to a final HMAC-SHA256 extraction layer with unbiased rejection sampling over . A byte-oriented MusicoCrypt-WB interface is also defined for binary protocols and standardized bit-level testing. The evaluation includes long-sequence stream statistics, HMAC-only/audio-hash/carrier ablations, NIST SP 800-22 bit-level tests, fixed-budget extraction analysis, known-plaintext analysis, frame-resynchronization simulation, acoustic synchronization experiments under additive white Gaussian noise, and computational-cost measurements that separate offline carrier extraction from online keystream generation. Results on symbols show that the raw Core keystream remains detectably non-uniform, whereas MusicoCrypt-W is consistent with the expected uniform distribution in the reported symbol-domain chi-square test. The ablation study shows that HMAC-based extraction provides the final statistical behavior, while the audio context provides context binding and cross-context separation. Accordingly, MusicoCrypt is positioned for context-bound multimedia workflows where offline carrier extraction is acceptable, rather than as a replacement for lightweight real-time binary stream ciphers.
dc.identifier.doi10.1002/cpe.70879
dc.identifier.issn1532-0626
dc.identifier.issn1532-0634
dc.identifier.issue15
dc.identifier.scopus2-s2.0-105045588366
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1002/cpe.70879
dc.identifier.urihttps://hdl.handle.net/20.500.12604/12345
dc.identifier.volume38
dc.identifier.wosWOS:001840552500018
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofConcurrency and Computation-Practice & Experience
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20261017
dc.subjectAudio-Derived Keystream
dc.subjectCollatz Dynamics
dc.subjectComputational Security
dc.subjectHappy Numbers
dc.subjectHmac-Sha256
dc.subjectPitch Estimation
dc.subjectStream Cipher
dc.titleMusicoCrypt: A Music-Modulated Stream Cipher Using Deep Pitch Estimation and Number-Theoretic Dynamics
dc.typeArticle

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