Article: A trustworthy traceability and permission management system for academic publishing processes based on blockchain and AI Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.71 pp.26 - 55 Abstract: Academic publishing is crucial for knowledge dissemination and upholding scientific integrity, but existing mechanisms suffer from significant drawbacks such as lack of transparency, disputes regarding authorship, biased peer reviews, and unilateral commercial publisher control. Such challenges diminish confidence and hinder the process of research dissemination. To overcome them, the present study suggests a secure and traceable publishing model that combines Blockchain and artificial intelligence (AI). The system utilises a permissioned Blockchain (Hyperledger Fabric) with self-sovereign identity (SSI) to ensure tamper-proof logging, privacy-preserving authorship authentication, and role-based access control. Meanwhile, transformer-based AI models like DistilBART for summarisation, RoBERTa for sentiment analysis and BART-MNLI for intent classification are utilised to process peer reviews in real time, providing editorial decision support and increased efficiency. The architecture provides end-to-end traceability of review incidents, protects against immoral authorship behaviours, and locks away AI-derived insights immutably with human input. Built as a modular and micro-service-compatible architecture, it facilitates scalability, auditing, and transparency throughout the publishing process. This body of work illustrates how Blockchain and AI may be harnessed to develop a reliable, automated, and fair scholarly communication system. Inderscience Publishers - linking academia, business and industry through research

Title: A trustworthy traceability and permission management system for academic publishing processes based on blockchain and AI

Authors: Yu Su; Yu Zhang; Haozhe Dai; Zizhen Di

Addresses: Liaoning Provincial Institute of Traditional Chinese Medicine, No. 60, Huanghebei Street, Yuhong District, Shenyang City, Liaoning 110034, China ' Liaoning University of Chinese Medicine, No. 79, Chongshan East Road, Huanggu District, Shenyang City, Liaoning 110847, China ' Liaoning Provincial Institute of Traditional Chinese Medicine, No. 60, Huanghebei Street, Yuhong District, Shenyang City, Liaoning 110034, China ' Liaoning Provincial Institute of Traditional Chinese Medicine, No. 60, Huanghebei Street, Yuhong District, Shenyang City, Liaoning 110034, China

Abstract: Academic publishing is crucial for knowledge dissemination and upholding scientific integrity, but existing mechanisms suffer from significant drawbacks such as lack of transparency, disputes regarding authorship, biased peer reviews, and unilateral commercial publisher control. Such challenges diminish confidence and hinder the process of research dissemination. To overcome them, the present study suggests a secure and traceable publishing model that combines Blockchain and artificial intelligence (AI). The system utilises a permissioned Blockchain (Hyperledger Fabric) with self-sovereign identity (SSI) to ensure tamper-proof logging, privacy-preserving authorship authentication, and role-based access control. Meanwhile, transformer-based AI models like DistilBART for summarisation, RoBERTa for sentiment analysis and BART-MNLI for intent classification are utilised to process peer reviews in real time, providing editorial decision support and increased efficiency. The architecture provides end-to-end traceability of review incidents, protects against immoral authorship behaviours, and locks away AI-derived insights immutably with human input. Built as a modular and micro-service-compatible architecture, it facilitates scalability, auditing, and transparency throughout the publishing process. This body of work illustrates how Blockchain and AI may be harnessed to develop a reliable, automated, and fair scholarly communication system.

Keywords: blockchain; academic publishing; self-sovereign identity; SSI; peer review automation; role-based access control; RBAC; artificial intelligence; trustworthy systems; scholarly communication; review summarisation; sentiment analysis; intent classification.

DOI: 10.1504/IJICT.2026.154474

International Journal of Information and Communication Technology, 2026 Vol.27 No.71, pp.26 - 55

Received: 29 Dec 2025
Accepted: 04 Feb 2026
Published online: 29 Jun 2026 *

Title: A trustworthy traceability and permission management system for academic publishing processes based on blockchain and AI

Keep up-to-date