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密码S盒的一种新自动搜索方法

张润莲, 孙亚平, 韦永壮, 李迎新

张润莲, 孙亚平, 韦永壮, 李迎新. 密码S盒的一种新自动搜索方法[J]. 计算机研究与发展, 2020, 57(7): 1415-1423. DOI: 10.7544/issn1000-1239.2020.20190537
引用本文: 张润莲, 孙亚平, 韦永壮, 李迎新. 密码S盒的一种新自动搜索方法[J]. 计算机研究与发展, 2020, 57(7): 1415-1423. DOI: 10.7544/issn1000-1239.2020.20190537
Zhang Runlian, Sun Yaping, Wei Yongzhuang, Li Yingxin. A New Automatic Search Method for Cryptographic S-Box[J]. Journal of Computer Research and Development, 2020, 57(7): 1415-1423. DOI: 10.7544/issn1000-1239.2020.20190537
Citation: Zhang Runlian, Sun Yaping, Wei Yongzhuang, Li Yingxin. A New Automatic Search Method for Cryptographic S-Box[J]. Journal of Computer Research and Development, 2020, 57(7): 1415-1423. DOI: 10.7544/issn1000-1239.2020.20190537
张润莲, 孙亚平, 韦永壮, 李迎新. 密码S盒的一种新自动搜索方法[J]. 计算机研究与发展, 2020, 57(7): 1415-1423. CSTR: 32373.14.issn1000-1239.2020.20190537
引用本文: 张润莲, 孙亚平, 韦永壮, 李迎新. 密码S盒的一种新自动搜索方法[J]. 计算机研究与发展, 2020, 57(7): 1415-1423. CSTR: 32373.14.issn1000-1239.2020.20190537
Zhang Runlian, Sun Yaping, Wei Yongzhuang, Li Yingxin. A New Automatic Search Method for Cryptographic S-Box[J]. Journal of Computer Research and Development, 2020, 57(7): 1415-1423. CSTR: 32373.14.issn1000-1239.2020.20190537
Citation: Zhang Runlian, Sun Yaping, Wei Yongzhuang, Li Yingxin. A New Automatic Search Method for Cryptographic S-Box[J]. Journal of Computer Research and Development, 2020, 57(7): 1415-1423. CSTR: 32373.14.issn1000-1239.2020.20190537

密码S盒的一种新自动搜索方法

基金项目: 国家自然科学基金项目(61572148,61872103);广西创新研究团队项目(2019GXNSFGA245004);广西重点研发计划项目(桂科AB18281019);广西自然科学基金项目(2018GXNSFAA294036);广西密码学与信息安全重点实验室项目(GCIS201705);广西高校云计算与复杂系统重点实验室项目(YF16205);广西研究生教育创新计划资助项目(YCSW2018138,YCBZ2018051)
详细信息
  • 中图分类号: TP309.7

A New Automatic Search Method for Cryptographic S-Box

Funds: This work was supported by the National Natural Science Foundation of China (61572148, 61872103), the Guangxi Innovation Research Team Project (2019GXNSFGA245004), the Key Research and Development Program of Guangxi (guike AB18281019), the Natural Science Foundation of Guangxi Autonomous Region of China (2018GXNSFAA294036), the Project of Guangxi Key Laboratory of Cryptography and Information Security (GCIS201705), the Project of Guangxi Colleges Key Laboratory of Cloud Computing and Complex Systems (YF16205), and the Innovation Project of Guangxi Graduate Education (YCSW2018138, YCBZ2018051).
  • 摘要: 密码S盒是许多对称密码算法的核心部件,通常决定算法的安全强度.如何设计并确保密码S盒具有一定能力抵御侧信道攻击(如功耗攻击)一直是业界研究的难点.在密码S盒的设计中,除了传统的代数构造外,采用自动搜索工具(如元胞自动机(cellular automata, CA))进行搜索设计也是当前研究热点之一.基于CA规则,采用变元分量部分固定和分别搜索的策略,提出了一种S盒新搜索方法.研究结果表明:更多的4×4最优S盒被发现,实现S盒的扩展;特别地,该方法还可以将CA规则下3类4×4次优S盒转化为4×4最优S盒.与已有结果相比较,新发现的4×4最优S盒具有较低透明阶等优点,能更好地抵御侧信道攻击.
    Abstract: The cryptographic S-boxes are core component in too many symmetric encryption algorithms, which usually determine the security strength of these algorithms. The secure evaluation indicators for these cryptographic S-boxes contain balancedness, algebraic degree, nonlinearity, and differential uniformity etc. How to design the cryptographic S-boxes that have some robust abilities (indicators) against both the traditional attacks and the side channel attacks such as power attacks appears to be a rather difficult task. Currently, the automatic search tools, such as CA(cellular automata), neural network, etc, have became the research hotspots regarding to the design of the cryptographic S-box, except to the classical algebraic construction. Based on the CA rules, a new search method for S-box is proposed, which uses the strategy of partial fixed and separate searching for the variable components. More specifically, in the first place, the features of CA rules of this method is described. Moreover, the strategy of partial fixed and separate searching for the variable components according to the properties of cryptographic S-boxes is constructed. Finally, some new S-boxes are achieved and their features of these S-boxes are also evaluated. It is shown that too many 4×4 optimal S-boxes are attained. In particular, three classes of 4×4 sub-optimal S-boxes can also be transformed to some 4×4 optimal S-boxes under the CA rules of this method. Compared with the previous well-known results, these new 4×4 optimal S-boxes have lower transparency order so that they have a robuster ability against side channel attacks.
  • 期刊类型引用(5)

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    2. 武小年,吴庭,黄昭文,张润莲. 基于复合混沌系统的S盒构造与优化方法. 计算机科学与探索. 2025(04): 1095-1104 . 百度学术
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    4. 武小年,豆道饶,韦永壮,张润莲,李灵琛. 基于Feistel-NFSR结构的16比特S盒设计方法. 密码学报. 2023(01): 146-154 . 百度学术
    5. 武小年,舒瑞,豆道饶,张润莲,韦永壮. 基于L-M-NFSR结构的16比特S盒设计方法. 计算机科学与探索. 2023(10): 2511-2518 . 百度学术

    其他类型引用(3)

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出版历程
  • 发布日期:  2020-06-30

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