The rise of cloud computing has highlighted the need for strong data security and privacy. This study evaluates the Secure and Integrated Encryption Model (SHIELD), designed to enhance public cloud security. SHIELD uses optimized hybrid encryption (256-bit AES and 2048-bit RSA), real-time OTP authentication, Role-Based Access Control (RBAC), and auditing tools. Developed in Python with Django, it incorporates multithreading for AES and PKCS1_OAEP for RSA to boost performance. Results show encryption and decryption time improved by 28.8% and 76.2%, respectively, with an Avalanche effect over 50%, indicating strong encryption. SHIELD outperformed existing models in all areas, offering a robust solution for securing public cloud data. Future research will explore its use in private and hybrid clouds. The study's findings indicated that by combining symmetric and asymmetric key techniques, concerns about the integrity, security, privacy, and confidentiality of data stored in the cloud are addressed by the new security system

Performance, Cloud Computing, AES, RSA and Cryptography

The experiment was conducted by running files ranging in sizes from 23kb to 100MB using three algorithms: AES, RSA and SHEILD. The overall analysis of these algorithms was assessed using parameters like encryption time, and decryption time. A key feature of this model was its ease of use and stability with large amounts of data; for instance, a larger-sized .txt file (100 MB) used for dump files was accurately encrypted and decrypted. However, it was observed that encrypting larger files took a considerable amount of time due to the size and complexity of the data. Consequently, smaller file sizes resulted in shorter encryption and decryption times, while larger file sizes (100 MB and above) led to longer times. Encryption and decryption times have all been assessed for the SHIELD model using various data file sizes and formats. It proved efficient in encrypting all file formats, including text, images, and videos. Our solution made use of the shortest time in seconds for encryption and decryption. Hence, compared to AES and RSA, the SHIELD model offers confidentiality and better results in terms of security, encryption and decryption times. The study's findings indicated that by combining symmetric and asymmetric key techniques, concerns about the integrity, security, privacy, and confidentiality of data stored in the cloud are addressed by the new security system. The SHIELD model demonstrated strong performance by integrating AES for fast and secure data encryption with RSA for robust key management, further enhanced by PKCS1_OAEP padding and multithreading. It excelled in throughput, decryption time, memory usage, and CPU/network efficiency, proving stable and effective across diverse file formats and sizes up to 500 MB. The model ensured high confidentiality, integrity, and resistance to cryptanalytic attacks, while offering ease of use and reduced processing costs. However, its performance was influenced by the underlying hardware, with optimal results achieved on higher-end processors such as Core i7. Large files, especially video data, introduced longer encryption/decryption times and potential memory limitations, making the approach less suited for resource-constrained environments or extremely large datasets

A.R. Atuluku and F.B. Osang (2025). Performance Evaluation of the Secure and Integrated Encryption Model (SHIELD). International Journal on Emerging Technologies, 16(2): 113–119