The choice of a symmetric encryption algorithm in practice is rarely as straightforward as it may appear from theoretical comparisons alone. In addition to security considerations, real-world selection often depends on execution time, reliability, entropy-related behavior, resource efficiency, and suitability for different types of data. This paper presents an experimental software platform for benchmarking and multi-criteria recommendation of symmetric encryption algorithms. The platform combines automated encryption and decryption tests, metric collection, comparative analysis, and result visualization within a unified evaluation workflow. It also incorporates a multi-criteria model that transforms raw experimental measurements into an overall ranking and supports context-aware recommendation according to the requirements of a given usage scenario. The experimental study includes repeated tests on different input categories in order to examine algorithm behavior under varied operating conditions. The obtained results show that algorithm performance and overall suitability are strongly dependent on the evaluation perspective and the application context, which suggests that no single symmetric method should be regarded as universally optimal. The proposed platform offers a practical basis for comparative cryptographic analysis and may be useful both for research purposes and for informed decision-making in security-oriented software environments.
Dinev et al. (Thu,) studied this question.
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