Information Security for Academic Research Integrity: A Blockchain-Enabled AI Platform with Zero-Knowledge Verification and Immersive Collaboration

• Het Rachhadiya

  Author

The focus of information security in scientific research usually extends beyond the publication of the research paper, covering fraud detection and authenticity verification of credentials or claims. Other crucial elements, such as integrity assurance for all, privacy-preserving verification mechanisms, and collaborative security for globally distributed researchers, have received less attention. This paper presents AI Scholar, an authoritative research platform designed to reimagine the information security of the whole research production pipeline. AI Scholar incorporates four novel research tools: (i) multi-modal transformer architectures capable of independent textual analysis and gap identification; (ii) a blockchain with proof-of-authority tailored to academic institutions, ensuring timestamping of research events, peer review via smart contracts, and cryptographic auditability; (iii) zero-knowledge proof protocols that enable public verification of statistical claims, methodological compliance, and result authenticity without revealing sensitive information; and (iv) end-to-end encryption with homomorphic encryption support for collaborative analysis on encrypted datasets. Unlike previous works that address isolated challenges, AI Scholar provides information security guarantees throughout the research pipeline from hypothesis registration and data collection to experiment, analysis, peer review, and publication. A simulation-based evaluation, modelling a scenario of 52 research institutions and 847 researchers, demonstrates promising results: 99.9% integrity verification accuracy, effective detection of known fraud patterns, an 89% reduction in literature review costs, and strong cryptographic privacy guarantees.

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