通信学报 ›› 2013, Vol. 34 ›› Issue (2): 23-30.doi: 10.3969/j.issn.1000-436x.2013.02.004

• 学术论文 • 上一篇    下一篇

基于R-LWE的公钥加密方案

杨晓元1,2,吴立强1,张敏情1,张薇1   

  1. 1 武警工程大学 电子技术系 网络与信息安全武警部队重点实验室,陕西 西安710086
    2 西安电子科技大学 网络信息安全教育部重点实验室,陕西 西安 710071
  • 出版日期:2013-02-25 发布日期:2017-07-17
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;陕西省自然科学基金资助项目

Public-key encryption scheme based on R-LWE

Xiao-yuan YANG1,2,Li-qiang WU1,Min-qing ZHANG1,Wei ZHANG1   

  1. 1 Key Laboratory of Network & Information Security Under the Chinese Armed Police Force, Department of Electronic Technology, Engineering University of the Armed Police Force, Xi’an 710086,China
    2 Key Laboratory of Network & Information Security, Ministry of Education, Xidian University, Xi’an 710071,China
  • Online:2013-02-25 Published:2017-07-17
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Shaanxi Province

摘要:

摘 要:根据一个更紧凑的均匀性定理提出了一种改进的理想格上陷门生成方法;然后结合 R-LWE 加密算法和理想格上强不可伪造一次签名工具,在标准模型下设计了一个适应性选择密文攻击(CCA)安全的公钥加密方案。新方案可实现块加密,可支持公开的密文完整性验证,具有加解密速度快、密文扩展率低的优势,其安全性可以高效地归约为判定性R-LWE困难性假设。新方案是第一个完全基于理想格上困难问题构造的CCA安全公钥加密方案。

关键词: 公钥加密, 适应性选择密文安全, 理想格, R-LWE

Abstract:

An improved method of generating trapdoor on ideal lattice was proposed by a stronger regularity bound theorem, then with R-LWE encryption algorithm and strongly unforgeable one-time signature tool from ideal lattice, an adaptive chosen-ciphertext attack (CCA) secure PKE scheme under the st rd model was designed.The new PKE scheme supported public ciphertext integrity verification, could achieve block encryption and had a high encryption/decryption speed and a low encryption blowup factor, whose security proved reduced to decisional R-LWE assumption tightly.The construction is the first CCA-secure PKE cryptosystem completely based on hard problems from ideal lattice.

Key words: public key encryption, chosen-ciphertext security, ideal lattice, R-LWE

No Suggested Reading articles found!