Decomposing the Inverse of a Masked Vector in an Isomorphic Galois Field for Perfectly Masked S-Box

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The increment of opportunities for using machine learning (ML) technologies has brought a new threat to cryptosystems. As a remarkable example, the ML technologies have gradually been employed in the side-channel attack (SCA) to obtain sensitive information. In this paper, the authors focus on the structure of a masked S-Box in AES, which aims to equip the SCA resistance even for the attacks using the ML technologies. More precisely, this paper analyzes the mathematical structure of the inverse operation over F(24)2 which is an isomorphic field for obtaining efficient arithmetic for the AES, so that all functions in the encryption scheme can handle masked data as it is. The mathematical structure is realized by introducing several mathematical tools such as the Gauss periods and the Itoh-Tsujii inversion algorithm, and as a result, we clarified the factors of the coefficients of A-1 for an element A F(24)2. It enables us to generate the corresponding element directly, which allows canceling the mask even after processing the SubBytes.

Original languageEnglish
Title of host publicationProceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-163
Number of pages7
ISBN (Electronic)9781728147253
DOIs
Publication statusPublished - Nov 2019
Event7th International Symposium on Computing and Networking, CANDAR 2019 - Nagasaki, Japan
Duration: Nov 26 2019Nov 29 2019

Publication series

NameProceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019

Conference

Conference7th International Symposium on Computing and Networking, CANDAR 2019
Country/TerritoryJapan
CityNagasaki
Period11/26/1911/29/19

Keywords

  • AES
  • Gauss periods
  • Itoh Tsujii inversion algorithm
  • isomorphic field F(2)
  • masked S Box

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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