Nguyen Van Quang, Hoang Van Lam, Tran Bien Thuy

DOI: https://doi.org/10.5281/zenodo.22360155

Digital transformation and data digitization in higher-education institutions raise pressing requirements for protecting data hosted on cloud computing platforms. This paper reports preliminary findings from a university-level research project evaluating three representative encryption approaches — symmetric AES-256, asymmetric RSA-2048, and a hybrid AES+RSA scheme — for protecting digitized records (student, staff, and training documents) at Hai Phong University. Because the university’s digitization system is still being deployed, the research team built a simulation model whose baseline performance parameters were calibrated against published benchmarks for AES-NI and RSA-OAEP implementations (see Section 3 and the References) to illustrate the proposed evaluation framework; all figures reported here are simulated data, not measurements from a production system. Simulation results show AES-256-GCM achieving an average throughput of 400–450 MB/s with near-linear scaling; direct RSA-2048 encryption of bulk data incurs rapidly growing processing time and is impractical at scale; the hybrid AES+RSA scheme retains throughput close to pure AES while inheriting RSA’s key-management advantages, at a negligible additional storage cost (under 0.1%). Based on these findings, the team recommends adopting a hybrid AES-256/RSA-2048 (or ECC) scheme for the university’s data digitization system and proposes empirical validation on live infrastructure as the next research phase

data encryption; cloud computing; AES; RSA; hybrid encryption; data digitization; information security.

This paper presented the theoretical background and preliminary simulated evaluation of three encryption approaches — AES-256, RSA-2048, and a hybrid AES+RSA scheme — for protecting digitized data on cloud infrastructure at Hai Phong University. Results show that the hybrid scheme achieves a favourable balance between performance and secure key management, and it is recommended as the foundational solution for the university’s data-digitization system.

[1] Ngo Ba Hung, Thai Minh Tuan, Trieu Thanh Ngoan (2021),
Cloud Computing Textbook, Can Tho University Publishing
House, ISBN 978-604-965-542-5.
[2] Le Dac Nhuong (2018), Data Security Textbook, Vietnam
National University, Hanoi Press.
[3] Pham Huy Dien, Ha Huy Khoai (2004), Information Encryption:
Mathematical Foundations and Applications, VNU Hanoi Press.
[4] Ghonge M.M., Pramanik S., Mangrulkar R., Le D.-N. (2022),
Cyber Security and Digital Forensics, Wiley, ISBN
9781119795636.
[5] Le D.-N., Bhatt C., Madhukar M. (2019), Security Designs for
the Cloud, IoT, and Social Networking, Wiley, ISBN
9781119592266.
[6] Gudimetla S.R. (2024), "Data Encryption in Cloud Storage".
[7] Hossain M., Sharma V. (2024), "Data Security in the Cloud Using
pTree-based Homomorphic Intrinsic Data Encryption System
(pHIDES)".
[8] Blessing M. (2024), "Cloud Encryption Strategies and Key
Management".
[9] Dhinakaran, D., Selvaraj, D., Dharini, N., Raja, S. E., & Priya, C.
(2024). Towards a novel privacy-preserving distributed
multiparty data outsourcing scheme for cloud computing with
quantum key distribution. arXiv preprint arXiv:2407.18923.
[10] Mukhopadhyay D. et al. (2014), "Securing the Data in Clouds
with Hyperelliptic Curve Cryptography".
[11] NIST FIPS 197 (2001), Advanced Encryption Standard (AES).
[12] RSA Laboratories, PKCS #1 v2.2: RSA Cryptography Standard.
[13] Van, T. H., Vinh, N. P., Ngan, V. T. T., Phuong, L. H., & Le, D.
N. (2026). A Course-Specific Agentic RAG Chatbot for IT
Student Support: Architecture, Local Deployment, and
Preliminary Evaluation at Hai Phong University. Next
Generation Computing Systems and Technologies, 2(2), 21-34.

Nguyen Van Quang, Hoang Van Lam, Tran Bien Thuy (2026). EVALUATING THE EFFECTIVENESS OF SECURITY AND ENCRYPTION METHODS FOR CLOUD DATA PROTECTION: APPLICATION TO DATA DIGITIZATION AT HAI PHONG UNIVERSITY. International Journal of Computer Science Engineering Techniques, 10(5), 155–157. ISSN: 2455-135X. DOI: https://doi.org/10.5281/zenodo.22360155