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基于列表译码方法在查询访问模型下含错学习问题的分析

王明强 庄金成

王明强, 庄金成. 基于列表译码方法在查询访问模型下含错学习问题的分析[J]. 电子与信息学报, 2020, 42(2): 322-326. doi: 10.11999/JEIT190624
引用本文: 王明强, 庄金成. 基于列表译码方法在查询访问模型下含错学习问题的分析[J]. 电子与信息学报, 2020, 42(2): 322-326. doi: 10.11999/JEIT190624
Mingqiang WANG, Jincheng ZHUANG. Analysis of Learning With Errors in Query Access Model: A List Decoding Approach[J]. Journal of Electronics & Information Technology, 2020, 42(2): 322-326. doi: 10.11999/JEIT190624
Citation: Mingqiang WANG, Jincheng ZHUANG. Analysis of Learning With Errors in Query Access Model: A List Decoding Approach[J]. Journal of Electronics & Information Technology, 2020, 42(2): 322-326. doi: 10.11999/JEIT190624

基于列表译码方法在查询访问模型下含错学习问题的分析

doi: 10.11999/JEIT190624
基金项目: 国家自然科学基金(61672019)
详细信息
    作者简介:

    王明强:男,1970年生,教授,研究方向为算法数论和公钥密码学

    庄金成:男,1987年生,教授,研究方向为算法数论和公钥密码学

    通讯作者:

    庄金成 jzhuang@sdu.edu.cn

  • 中图分类号: TN918; TP309

Analysis of Learning With Errors in Query Access Model: A List Decoding Approach

Funds: The National Natural Science Foundation of China (61672019)
  • 摘要: Regev在2005年提出了含错学习问题(LWE),这个问题与随机线性码的译码问题密切相关,并且在密码学特别是后量子密码学中应用广泛。原始的含错学习问题是在随机访问模型下提出的,有证据证明该问题的困难性。许多研究者注意到的一个事实是当攻击者可以选择样本时,该问题是容易的。但是目前据作者所知并没有一个完整的求解算法。该文分析了查询访问模型下的带有错误学习问题,给出了完整的求解算法。分析采用的工具是将该问题联系到隐藏数问题,然后应用傅里叶学习算法进行列表译码。
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出版历程
  • 收稿日期:  2019-08-14
  • 修回日期:  2019-12-05
  • 网络出版日期:  2019-12-09
  • 刊出日期:  2020-02-19

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