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Simulation study demonstrates linear scaling for key rotation alongside efficient access control in cloud data digitization, indicating viable architectural scalability for academic institutions.
The authors' earlier study compared the performance of AES, RSA, and a hybrid encryption scheme on digitized data, finding the hybrid model to be the best performance trade-off; however, real-world effectiveness depends heavily on how encryption keys are organized, distributed, and protected across multiple university units. This paper proposes a five-layer architecture — digitization application layer, hybrid encryption layer, Key Management Service (KMS), Role-Based Access Control (RBAC) layer, and cloud storage infrastructure — together with a key lifecycle process (generation, distribution, use/rotation, revocation, audit logging). The team built a simulation model of KMS workload as the number of managed users/records grows from 100 to 10,000, measuring key rotation time, distribution latency, access-control latency, revocation latency, and key-metadata storage size. All figures are simulated data, disclosed transparently to illustrate the scalability of the proposed architecture rather than measurements from a production system. Results show that key-rotation cost and revocation latency scale nearly linearly with system size, while access-control latency grows more slowly thanks to caching, indicating the architecture scales adequately for the university's current and near-term (3–5 year) needs. The paper also provides a conceptual-level threat analysis and mitigation recommendations for insider key-leakage risk.
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Quang et al. (2026) studied this question.
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