Blockchain Inspired Frameworks for Ensuring Textual Authenticity and Attribution in Digital Literary Archives
Shakhnoza KhujamberdievaDepartment of Preschool Education, Namangan State Pedagogical Institute, Namangan, Uzbekistan. sh.hujamberdiyeva0505@gmail.com0009-0001-5629-6643
Mahliyo KhaydarovaAssociate Professor, Department of Primary Education Methodology, Termez University of Economics and Service, Termez, Uzbekistan. mahliyoxabibullayevna1988@gmail.com0009-0007-8381-4163
Gavhar KurbanovaTermez State Pedagogical Institute, Termez, Uzbekistan. gavhar@terdpi.uz0009-0000-9770-0748
Navbaxor ShadiyevaLecturer, Jizzakh State Pedagogical University, Jizzakh, Uzbekistan. shadiyevanavbahor@gmail.com0009-0007-4740-3092
Gavhar NurkulovaTeacher, Termez State University, Termez, Surkhandarya Region, Uzbekistan. nurqulovagavhar@gmail.com0009-0008-6928-8272
Niginabonu ShokhimardonovaBukhara State Technical University, Bukhara, Uzbekistan; National Research University "TIIAME", Tashkent, Uzbekistan. shaximardanovan@gmail.com0009-0009-4457-8481
Shaxista ToxirjonovaSenior Lecturer, Uzbekistan State World Languages University, Tashkent, Uzbekistan. shohista_fr@mail.ru0009-0005-1055-8897
Barchinoy IsroilovaAssociate Professor, Department of Primary Education, Andijan State Pedagogical Institute, Andijan, Uzbekistan. barchinoy_isroilova@mail.ru0009-0001-8585-7542
Contemporary digital literary archives face challenges associated with the problems of textual authenticity, authorship attribution, and integrity owing to the rapid advancement of AI text generation and decentralized content sharing. In this regard, this research proposes a Blockchain-Inspired Architecture for Ensuring Textual Authenticity and Attribution (BIAAF). Main challenges are related to the inability of centralized archiving methods to ensure immutability and, consequently, risks of tampering, misattribution, and loss of credibility on the part of digital literary archives. Proposed methodology suggests a multi-layered framework, which includes a text ingestion layer, cryptographic hashing through the SHA-256 algorithm, a blockchain layer with immutability provided through smart contracts, and decentralized storage based on IPFS technology. The verification layer allows real-time authentication of texts through comparison of the hash codes stored and recomputed, and authorship validation through metadata analysis. The framework is tested on a hybrid corpus of 50,000 documents containing human-authored and artificially generated literary texts. Experimentation shows that the proposed framework yields an accuracy of 99.2%, a precision of 96.8%, a recall of 95.4%, and a tampering detection rate of 99.5%, all of which are realized with a minimal verification time lag of less than 200 milliseconds. Relative to centralized systems and metadata frameworks, the proposed framework significantly enhances the security, scalability, and provenance of the archive. Overall, it is shown that the use of blockchain technology for the preservation of textual authenticity within literary databases is an effective approach. The use of decentralized database storage and intelligent contracts enables traceable authorship and secure documentation. Future research will include artificial intelligence-based stylometry and cross-blockchain capability for global literary archives.