An extended analytical framework for heterogeneous implementations of light cryptographic algorithms

نویسندگان

چکیده

The increased need for data, combined with the emergence of powerful Internet Things (IoT) devices, has resulted in major security concerns. decision-making related to choosing an adequate cryptographic algorithm use is, indeed, example concern that affects performance implementation. Lightweight or tiny ciphers are considered be go-to algorithms when talking about embedded systems and IoT devices. Such ciphers, properly integrated, expected have a minimal effect on overall device utilization thus provide effective performance. In this paper, we propose unified analytical framework lightweight as implemented within heterogeneous computing environments. This considers carefully identified set metrics can adequately enable capturing, ranking, classifying attained To end, designer make evaluations exact adjustments uses three approaches, namely Technique Order Preference by Similarity Ideal Solution (TOPSIS), Ranking Organization Method Enrichment Evaluation (PROMETHEE) II, Fuzzy TOPSIS. approaches take into account both hardware software deciding suitable adopt. Validation entails thorough examination evaluation several classification schemes. results confirm is valid effective.

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ژورنال

عنوان ژورنال: Future Generation Computer Systems

سال: 2023

ISSN: ['0167-739X', '1872-7115']

DOI: https://doi.org/10.1016/j.future.2022.11.007