Analytical Study of Hash Algorithm Performance for Smart Grid Data Security
DOI:
https://doi.org/10.31849/digitalzone.v17i1.30369Keywords:
Smart Grid, Hash Algorithm, SHA-256, SHA3-256, BLAKE2, Avalanche Effect, Time Efficiency, Data SecurityAbstract
Data integrity is a critical requirement in Smart Grid systems due to the continuous exchange of high-frequency transactional data across distributed environments. Cryptographic hash functions play a key role in ensuring data authenticity and preventing unauthorized modification. This study presents a comparative analytical evaluation of three widely used hash algorithms SHA-256, SHA3-256, and BLAKE2b using simulated Smart Grid data. The evaluation focuses on computational efficiency, avalanche effect sensitivity, and demonstrative security properties under controlled experimental conditions. The experimental results show that all algorithms maintain strong diffusion characteristics, with avalanche effect values close to the theoretical ideal, indicating reliable sensitivity to input changes. In terms of computational performance, BLAKE2b demonstrates lower execution time and more stable performance compared to SHA-256 and SHA3-256 within the tested environment. However, the observed differences are relatively small and should be interpreted cautiously. This study contributes by providing a contextual evaluation of hash algorithm performance in relation to Smart Grid data characteristics, highlighting the balance between efficiency and security sensitivity. Nevertheless, the experiments are conducted using a limited synthetic dataset and a software-based runtime environment, and the security tests are demonstrative in nature. Therefore, the findings should be considered as preliminary analytical insights rather than direct recommendations for real-world Smart Grid deployment
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Copyright (c) 2026 Muhammad Ridwan S.Kom, Rusydi Umar, Muhammad Kunta Biddinika, Puguh Wahyu Prasetyo
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