article · Journal of Technology Informatics and Engineering
Verifying academic credentials manually is often slow, fragmented, and vulnerable to fraud. While blockchain technology secures records by anchoring proof of credentials, high query volumes and expanding off-chain databases create operational bottlenecks. An adaptive architecture addresses this by pairing off-chain MySQL storage with Solidity-based smart contracts, Redis caching, and metadata-aware database sharding. To preserve efficiency, complete records remain off-chain, with only cryptographic hashes, metadata, and verification responses handled by the blockchain and cache layers. Testing with a prototype across workloads of up to 10,000 requests demonstrated that caching notably reduces repetitive queries, especially under mixed access patterns. In addition, metadata sharding improves database organisation and retrieval speed. Although smart-contract functions such as issuance and revocation proved feasible on a public testnet, practical scalability still requires careful management of cache consistency and revocation processes.
Academic fraud and slow validation procedures create difficulties for universities and employers seeking to verify qualifications. Blockchain provides tamper-resistant records, but public networks often face severe performance bottlenecks during high-volume use. Showing that intelligent caching and database partitioning can dramatically decrease blockchain query traffic helps make secure, fraud-resistant digital credential systems feasible for larger institutional adoption.
This architecture is targeted at universities, educational bodies, and recruitment platforms that manage high volumes of credential verifications. The work represents an applied research prototype tested with synthetic data and a public testnet. It is not yet ready for immediate market deployment, as real-world implementation would require addressing several operational hurdles, specifically around cache consistency, credential revocation workflows, and deployment constraints.
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Academic credential verification remains difficult for institutions because manual checks are slow, fragmented, and vulnerable to fraud. Blockchain can improve trust by anchoring credential proofs, but repeated verification requests and growing off-chain repositories can still create performance bottlenecks. This study presents an adaptive blockchain-powered academic credential repository that combines off-chain MySQL storage, Solidity-based hash anchoring, Redis verification caching, and metadata-aware sharding. Full academic records are not stored on-chain or in Redis; only credential hashes, verification responses, and related metadata are used for trust validation and performance optimization. A CodeIgniter 4 prototype was evaluated using synthetic academic credential records and controlled workloads of 1,000, 5,000, and 10,000 verification requests under fresh, mixed, and repeated access patterns. The results show that Redis caching substantially reduced repeated blockchain queries, especially under mixed and repeated workloads, while metadata-aware sharding improved repository organization and supported more targeted credential retrieval. Sepolia testnet validation confirmed smart-contract feasibility, including issuance, verification, revocation, gas use, confirmation time, and event evidence, but was treated separately from scalability testing. The findings indicate that combining blockchain trust anchoring with cache-aware verification and metadata-based repository partitioning can improve the scalability of academic credential repositories, provided that cache consistency, revocation handling, and deployment limitations are carefully managed.
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DOI: 10.51903/jtie.v5i2.555
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