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<p>Academic Data Management has grown more sophisticated, leading to problems like record tampering, inefficient attendance tracking, and inadequate credential verification in the traditional education system. This paper introduces a novel education management platform called EduChain based on blockchain technology to solve these problems: bitmap-based attendance compression, gas-optimized batch processing, and on-chain/off-chain with IPFS storage. Our system is a hybrid on-chain/off-chain architecture with an integrated framework, unlike current blockchain solutions that offer specific functionalities, we can reduce the gas fees and ensure a high level of data integrity. We implement batch registration to reduce redundant on-chain transactions, use Merkle Trees for cryptographic proof of academic records, and bitmap arrays for compact and scalable attendance tracking. Evaluations demonstrate that the proposed work achieves significant improvements in verification time compared to baseline methods, while ensuring immutability, decentralization, and cross-departmental accessibility. The platform’s comprehensive integration of cryptographic structures, gas optimization techniques, and practical workflows makes it highly suitable for large-scale academic deployment in modern educational ecosystems.</p>

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Merkle Proof-Based Secure Scheme for Verification and Optimization in Smart Education Environment

  • 期刊论文

  • 发表日期：

    2026年6月23日

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  • Mihir Sanjaybhai Solanki,
  • Prem Rameshbhai Kamothi,
  • Anand Jitendrabhai Jadav,
  • Sushil Kumar Singh,
  • Om Prakash Suthar,
  • Agoston Restas

摘要

Academic Data Management has grown more sophisticated, leading to problems like record tampering, inefficient attendance tracking, and inadequate credential verification in the traditional education system. This paper introduces a novel education management platform called EduChain based on blockchain technology to solve these problems: bitmap-based attendance compression, gas-optimized batch processing, and on-chain/off-chain with IPFS storage. Our system is a hybrid on-chain/off-chain architecture with an integrated framework, unlike current blockchain solutions that offer specific functionalities, we can reduce the gas fees and ensure a high level of data integrity. We implement batch registration to reduce redundant on-chain transactions, use Merkle Trees for cryptographic proof of academic records, and bitmap arrays for compact and scalable attendance tracking. Evaluations demonstrate that the proposed work achieves significant improvements in verification time compared to baseline methods, while ensuring immutability, decentralization, and cross-departmental accessibility. The platform’s comprehensive integration of cryptographic structures, gas optimization techniques, and practical workflows makes it highly suitable for large-scale academic deployment in modern educational ecosystems.