University Publications

This paper focuses on the performance analysis and optimization of the ECDH_GA encryption algorithm. The algorithm is widely used for securing sensitive data, however, improving its performance while maintaining data integrity is a challenge. The study conducted experiments to analyze the impact of file size on encryption and decryption times. The results showed a predictable growth pattern, with varying execution times based on file size. The worst-case execution times exceeded the best-case times, and memory usage grew with larger file sizes and encryption operations. To optimize the algorithm, the study recommends exploring algorithmic improvements, hardware acceleration, and parallelization techniques. Scalability analysis, real-world performance testing, and energy efficiency assessments are also recommends. Security analysis and compliance considerations are important to ensure resistance against known attacks and adherence to industry standards. Usability and user experience studies can address key management and integration challenges. By implementing these recommendations and conducting further studies, developers can enhance the performance, scalability, and security of the ECDH_GA algorithm, enabling secure transmission and storage of sensitive data in various domains.