• DocumentCode
    1703957
  • Title

    Public Key Cryptosystems from the Multiplicative Learning with Errors

  • Author

    Chunsheng, Gu

  • Author_Institution
    Sch. of Comput. Eng., Jiangsu Teachers Univ. of Technol., Changzhou, China
  • fYear
    2010
  • Firstpage
    456
  • Lastpage
    459
  • Abstract
    We construct two public key cryptosystems based on the multiplicative learning with errors (MLWE) problem. The cryptosystem 1 (resp. 2) are semantically secure assuming the worst-case hardness of the decisional composite residuosity problem and the search (resp. decisional) LWE problem, which implies approximating the shortest vector problem in a lattice to small polynomial factors. Namely, our cryptosystems are secure as long as one of them is hard. Moreover, the cryptosystem 1 can be adapted to the chosen ciphertext secure cryptosystem. In addition, the cryptosystem 2 has the additively homomorphic property.
  • Keywords
    learning (artificial intelligence); public key cryptography; MLWE; additively homomorphic property; ciphertext secure cryptosystem; decisional composite residuosity problem; multiplicative learning with errors problem; public key cryptosystems; search LWE problem; shortest vector problem; Lattices; Noise measurement; Public key cryptography; Search problems; Decisional Composite Residuosity Assumption; Factoring Integer; Lattice-based Cryptography; Multiplicative Learning with Errors; Public-key Cryptography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2010 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4244-8626-7
  • Electronic_ISBN
    978-0-7695-4258-4
  • Type

    conf

  • DOI
    10.1109/MINES.2010.102
  • Filename
    5671042