Abstract
Stochastic methods are commonly referred to as methods which are directly or indirectly based on using a pseudo-random number generator (PRNG). In some cases, stochastic methods are the only possible mechanism of protecting information from an active adversary. In this paper we examine a construction of R-boxes, which are a generalization of S-boxes, classical structural elements of cryptographic primitives of hashing, block and stream encryption. R-boxes are in fact stochastic adders, i.e. adders with an unpredictable operating result, which depends on the key table H. A distinguishing feature of R-boxes is their efficient software and hardware implementation.
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Acknowledgement
The publication is prepared in accordance with the scientific research under the Agreement between the Federal State Autonomous Educational Institution of Higher Education “National Research Nuclear University MEPhI” and the Ministry of Education and Science № 14.578.21.0117 on 27.10.2015. The unique identifier for the applied scientific research (project) is RFMEFI57815X0117.
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Albatsha, A., Ivanov, M.A. (2018). Stochastic Data Transformation Boxes for Information Security Applications. In: Samsonovich, A., Klimov, V. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. BICA 2017. Advances in Intelligent Systems and Computing, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-63940-6_31
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DOI: https://doi.org/10.1007/978-3-319-63940-6_31
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