An optimized encryption model for a robust and efficient information security system

Abstract

This study presents an optimized encryption model for a robust and efficient information security system designed to enhance the performance and reliability of data protection systems. The model was evaluated using key performance metrics, including encryption/ decryption time, system throughput, memory utilization, CPU usage, bit correct ratio, mean squared error and peak signal-to-noise ratio. Results revealed significant improvements across all parameters when compared with standard algorithms such as AES, DES and RSA. The optimized model achieved faster encryption and decryption processes, enabling real-time data protection suitable for cloud computing, Internet of Things (IoT) and secure communication applications. It also demonstrated higher system throughput and stable performance under intensive workloads, supported by low memory consumption and efficient CPU utilization. These attributes confirm effective resource management and scalability for both high-capacity systems and resource-constrained devices. Furthermore, a near-perfect bit correct ratio, low mean squared error and high peak signal-to-noise ratio validated the model’s superior data accuracy and reconstruction quality. The model was developed using C# within the .NET 8.0 framework, leveraging its advanced cryptographic libraries, managed memory environment and cross-platform architecture to achieve secure and efficient implementation. Overall, the optimized encryption model for a robust and efficient information security system provides a robust and scalable framework for modern information security, offering a balanced solution that integrates strong encryption, computational efficiency and high data fidelity.