BLOCKCHAIN BASED TRUST AWARE FRAMEWORK FOR SECURE AND TRANSPARENT CONVENTIONAL ACADEMIC RESULT PUBLISHING SYSTEM

In the evolving landscape of educational assessment and result publishing, blockchain technology holds a transformative approach for managing the examination results. The traditional approach for publishing results possesses various challenges including data security vulnerabilities, delayed result distribution, lack of transparency, administrative inefficiencies and so on. Despit recent efforts using online examination platforms and blockchain based grade storage, existing solutions typically do not integrate decentralized tamper proof storage, automated access control and dynamic trust modeling within a single architecture, leaving result data exposed to manipulation, manual entry errors, weak auditability and limited interoperability. This research presents a novel framework for secure and efficient result publishing BTRP (Blockchain based Trust aware Result Publishing). Initially, the proposed model integrates blockchain technology with an efficient distributed database, utilizing Smart Contracts (SC) to ensure secure data storage and sharing. Secondly, we incorporate a trust-aware feedback mechanism into result publishing, allowing participants to receive feedback based on their behaviour. This feedback is dynamically updated on the blockchain through smart contracts, ensuring that only honest and authorized participants have opportunities for data sharing. Additionally, advanced cryptographic mechanisms are incorporated for feedback submission, which protects the privacy of participant information. Front end architecture of BTRP comprises Student, Examiner and Admin as the participants for result publishing; also authorized login dashboard is design for Examiner and admin participants for updation of results. Comparative analysis highlight BTRP’s superiority by addressing known limitations of existing e-learning and blockchain academic systems, such as manual data entry vulnerabilities, privacy concern and access control.