Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90012
Title: PEIGEN – a platform for evaluation, implementation, and generation of S-boxes
Authors: Sasaki, Yu
Ling, San
Guo, Jian
Bao, Zhenzhen
Keywords: S-box
Survey
Science::Mathematics
Issue Date: 2019
Source: Bao, Z., Guo, J., Ling, S., & Sasaki, Y. (2019). PEIGEN – a platform for evaluation, implementation, and generation of S-boxes. IACR Transactions on Symmetric Cryptology, 2019(1), 330-394. doi:10.13154/tosc.v2019.i1.330-394
Series/Report no.: IACR Transactions on Symmetric Cryptology
Abstract: In this paper, a platform named PEIGEN is presented to evaluate security, find efficient software/hardware implementations, and generate cryptographic S-boxes. Continuously developed for decades, S-boxes are constantly evolving in terms of the design criteria for both security requirements and software/hardware performances. PEIGEN is aimed to be a platform covering a comprehensive check-list of design criteria of S-boxes appearing in the literature. To do so, the security requirements are first intensively surveyed, existing tools of S-boxes are then comprehensively compared, and finally our platform PEIGEN is presented. The survey part is aimed to be a systematic reference for the theoretical study of S-boxes. The platform is aimed to be an assistant tool for the experimental study and practical use of S-boxes. PEIGEN not only integrates most of the features in existing tools, but also equips with functionalities to evaluate new security-related properties, improves the efficiency of the search algorithms for optimized implementations in several aspects. With the help of this powerful platform, many interesting observations are made in-between the security notations, as well as on the S-boxes used in the existing symmetrickey cryptographic primitives. PEIGEN will become an open platform and welcomes contributions from all parties to help the community to facilitate the research and use of S-boxes.
URI: https://hdl.handle.net/10356/90012
http://hdl.handle.net/10220/49378
Rights: © 2019 The Author(s) (Published by Ruhr University Bochum). Licensed under Creative Commons License CC-BY 4.0
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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