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Enabling Credential Immutability of Academic Documents Using Blockchain

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Cryptology and Network Security with Machine Learning (ICCNSML 2023)

Abstract

The creation of a blockchain website for student certificate verification is a project designed to answer rising concerns about the legitimacy and security of academic credentials. This project intends to establish a trustworthy and efficient platform for certifying student credentials by exploiting the decentralized and tamper-resistant properties of blockchain technology. The project's goals include creating a transparent, fraud-resistant system that protects the integrity of certificate data. Sensitive student information will be encrypted and shielded against unauthorized access using cryptographic methods and smart contracts. The blockchain website will simplify the verification process, allowing educational institutions, future employers, and other stakeholders to readily validate students’ credentials. Implementing a blockchain website for student credential verification provides increased trust, security, and efficiency. The blockchain maintains the integrity and dependability of certificates by removing the potential of manipulation or fraud. The simplified verification procedure saves time and resources for all parties involved, enhancing overall efficiency. However, difficulties like as scalability, interoperability, user experience, and legal frameworks must be overcome for the project to be implemented successfully. Finally, the deployment of a blockchain website for student certificate verification is a viable approach for combating certificate fraud and increasing trust in academic credentials. This project’s goal is to leverage blockchain technology to build a secure, transparent, and user-friendly platform that revolutionizes the verification process and assures the integrity of student credentials.

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Correspondence to Pratibha Maurya .

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Pandey, R., Singh, G.D., Maurya, P. (2024). Enabling Credential Immutability of Academic Documents Using Blockchain. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_26

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  • DOI: https://doi.org/10.1007/978-981-97-0641-9_26

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