Enhancing The Security and Reliability of Online Exam Results Using Blockchain and Biometric Authentication

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@article{1710392,
      author = {Chittibabu Janthika, K. Balakrishna Maruthiram},
      title = {Enhancing The Security and Reliability of Online Exam Results Using Blockchain and Biometric Authentication},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {3},
      pages = {11-18},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710392.pdf},
      abstract = {The rapid adoption of online education due to the pandemic has necessitated secure and reliable systems for conducting exams and managing results. This project presents a blockchain-based framework designed to securely manage online classes and exam results. By leveraging decentralized storage and cryptographic hashing, the proposed system ensures data integrity and prevents tampering. Smart contracts, developed using Solidity, facilitate secure data transactions on the blockchain, providing a reliable alternative to traditional centralized databases and mitigating risks of unauthorized data modification. However, the initial system lacks an authentication mechanism for students, which poses significant security concerns. To address this issue, we are incorporating biometric-based authentication to guarantee that only registered students can access their accounts and participate in exams. Additionally, to address the high costs associated with blockchain storage, we will implement a lossless compression algorithm to minimize the size of data stored on the blockchain. This integrated approach not only enhances security and accessibility but also optimizes resource utilization, making the online examination process more efficient and trustworthy in educational settings.},
      keywords = {Blockchain, online test, online examination systems, smart contracts, Ethereum, meta mask wallet, learning management systems, LMS, Moodle, centralized ledger database, CLD},
      month = {September},
      doi = {https://doi.org/10.64388/IREV9I3-1710392-4169}
  }