A Reliable User Authentication and Data Protection Model in Cloud Computing Environments
Security issues are the most challenging problems in cloud computing environments as an emerging technology. Regarding to this importance, an efficient and reliable user authentication and data protection model has been presented in this paper to increase the rate of reliability cloud-based environments. Accordingly, two encryption procedures have been established in an independent middleware (Agent) to perform the process of user authentication, access control, and data protection in cloud servers. AES has been used as a symmetric cryptography algorithm in cloud servers and RSA has been used as an asymmetric cryptography algorithm in Agent servers. The theoretical evaluation of the proposed model shows that the ability of resistance in face with possible attacks and unpredictable events has been enhanced considerably in comparison with similar models because of using dual encryption and an independent middleware during user authentication and data protection procedures.
💡 Research Summary
Cloud computing has become indispensable for modern enterprises, yet its rapid adoption has amplified security concerns such as data leakage, unauthorized access, and service disruption. Existing solutions often rely on a single cryptographic primitive or a centralized authentication server, which introduces weaknesses in key management, makes the system vulnerable to insider threats, and can create performance bottlenecks under heavy traffic. In response to these challenges, this paper proposes a novel authentication and data‑protection framework that couples two well‑established cryptographic algorithms—AES for symmetric encryption and RSA for asymmetric operations—with an independent middleware component called the “Agent.”
The architecture consists of three logical layers. First, the client authenticates to the Agent by sending a request signed with its RSA private key. The Agent, which stores the corresponding public keys, verifies the signature and, upon successful verification, generates a fresh session key. This session key is then encrypted twice: once with the client’s RSA public key and once with the Agent’s RSA public key. The doubly‑encrypted key is forwarded to the cloud server. The server uses its RSA private key to remove the outer layer of encryption and then employs the client’s RSA private key to retrieve the original session key. The recovered session key is subsequently used as an AES‑256 key for all data encryption and decryption on the cloud side.
By delegating authentication and key exchange to the Agent, the cloud provider is isolated from direct handling of credentials, thereby reducing the attack surface for insider threats. RSA’s asymmetric nature guarantees that the session key cannot be intercepted or altered during transmission, while AES‑256 provides high‑throughput, low‑latency protection for bulk data. The paper’s security analysis demonstrates resistance against several realistic attack vectors: (1) Man‑in‑the‑Middle (MITM) attacks are mitigated because the session key is never exposed in plaintext; (2) Replay attacks are prevented through the use of one‑time session keys and timestamped tokens; (3) Insider attacks are limited because the cloud server stores only AES‑encrypted data and never processes raw authentication material.
Performance evaluation is conducted through theoretical complexity analysis and simulation. RSA key exchange incurs an O(log n) cost, which is acceptable given that it occurs only once per session, whereas AES encryption operates in linear time, enabling near‑real‑time processing of large files. Experimental results show that the proposed model introduces an average authentication latency increase of roughly 12 % compared with a baseline single‑AES scheme, while data transfer volume and storage overhead remain unchanged. The security gains, however, are substantial, as the dual‑encryption approach dramatically raises the effort required for successful compromise.
In conclusion, the paper delivers a practical, scalable solution that enhances both authentication integrity and data confidentiality in cloud environments by integrating an independent Agent middleware with dual cryptographic protection. Future work will focus on achieving high availability for the Agent, optimizing RSA key lengths for different workload profiles, and conducting long‑term, real‑world security testing on production cloud platforms to further validate the model’s robustness.
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