MusicoCrypt: A Music-Modulated Stream Cipher Using Deep Pitch Estimation and Number-Theoretic Dynamics
| dc.contributor.author | Turan, Cilen Gulsum | |
| dc.contributor.author | Keskin, Fesih | |
| dc.contributor.author | Isik, Gultekin | |
| dc.date.accessioned | 2026-10-23T18:14:14Z | |
| dc.date.available | 2026-10-23T18:14:14Z | |
| dc.date.issued | 2026 | |
| dc.department | Siirt Üniversitesi | |
| dc.description.abstract | This 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.doi | 10.1002/cpe.70879 | |
| dc.identifier.issn | 1532-0626 | |
| dc.identifier.issn | 1532-0634 | |
| dc.identifier.issue | 15 | |
| dc.identifier.scopus | 2-s2.0-105045588366 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https://doi.org/10.1002/cpe.70879 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12604/12345 | |
| dc.identifier.volume | 38 | |
| dc.identifier.wos | WOS:001840552500018 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Wiley | |
| dc.relation.ispartof | Concurrency and Computation-Practice & Experience | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WOS_20261017 | |
| dc.subject | Audio-Derived Keystream | |
| dc.subject | Collatz Dynamics | |
| dc.subject | Computational Security | |
| dc.subject | Happy Numbers | |
| dc.subject | Hmac-Sha256 | |
| dc.subject | Pitch Estimation | |
| dc.subject | Stream Cipher | |
| dc.title | MusicoCrypt: A Music-Modulated Stream Cipher Using Deep Pitch Estimation and Number-Theoretic Dynamics | |
| dc.type | Article |











