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author:

Zou, J. (Zou, J..) [1] (Scholars:邹剑) | Huang, Q. (Huang, Q..) [2] | Wei, Z.-H. (Wei, Z.-H..) [3] | Li, L.-J. (Li, L.-J..) [4] | Wu, W.-L. (Wu, W.-L..) [5]

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Scopus

Abstract:

Currently, no efficient implementation scheme for the ZUC algorithm S-box has been found. In general, it is implemented through lookup tables, while such operation consumes a large amount of hardware resources and is not suitable for using the ZUC algorithm in limited environments. In response to these shortcomings, the complete circuit implementation of S-box of ZUC algorithm and the in-place implementation of linear transformation are raised in this study, designated to effectively reduce the resource cost of the ZUC algorithm circuit implementation. ZUC’s S-box is composed of four 8×8 S-boxes, i.e., S = (S0,S1,S2,S3), where S0 = S2, S1 = S3. Firstly, this study uses the search strategy of exhaustive pruning and the SAT-based S-box optimization technique to give the efficient implementation of three P transforms in the S0, and then obtains an S0 compact circuit implementation for the first time. Secondly, according to the algebraic expression of S1, by applying several advanced combinatorial logic minimization techniques, 720 cases of the tower field representations for inverse of F28 field under normal basis are studied, and the compact circuit implementation of S1 is obtained. Compared to previous implementation methods based on composite field, it saves 25.48% of hardware overhead. Finally, the linear transformation in ZUC algorithm is converted into matrix form, and its in-place implementation is obtained by using the heuristic algorithm of optimizing linear matrix. It reduces XOR gates by 34.77% and does not require the use of additional auxiliary bits. The research is of a positive impact on the circuit implementation of ZUC algorithm in traditional environment and quantum environment. © 2024 Chinese Association for Cryptologic Research. All rights reserved.

Keyword:

circuit implementation linear permutation S-box ZUC

Community:

  • [ 1 ] [Zou J.]College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Zou J.]Key Lab of Information Security of Network Systems, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Huang Q.]College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Huang Q.]Key Lab of Information Security of Network Systems, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Wei Z.-H.]Data Communication Science and Technology Research Institute, Beijing, 100191, China
  • [ 6 ] [Li L.-J.]College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China
  • [ 7 ] [Li L.-J.]Key Lab of Information Security of Network Systems, Fuzhou University, Fuzhou, 350108, China
  • [ 8 ] [Wu W.-L.]Trusted Computing and Information Assurance Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China

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Source :

密码学报(中英文)

ISSN: 2095-7025

Year: 2024

Issue: 5

Volume: 11

Page: 1108-1125

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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