• DocumentCode
    2386124
  • Title

    Hardness of approximating the closest vector problem with pre-processing

  • Author

    Alekhnovich, Mikhail ; Khot, Subhash A. ; Kindler, Guy ; Vishnoi, Nisheeth K.

  • Author_Institution
    Inst. for Adv. Study, Princeton, NJ, USA
  • fYear
    2005
  • fDate
    23-25 Oct. 2005
  • Firstpage
    216
  • Lastpage
    225
  • Abstract
    We show that, unless NP⊆DTIME(2poly log(n)) the closest vector problem with pre-processing, for ℓp norm for any p ≥ 1, is hard to approximate within a factor of (log n)1p - ε/´ /P for any ε > 0. This improves the previous best factor of 31p/ - ε due to Regev (2004). Our results also imply that under the same complexity assumption, the nearest codeword problem with pre-processing is hard to approximate within a factor of (log n)1 - ε´ for any ε > 0.
  • Keywords
    computational complexity; approximation hardness; closest vector problem; complexity assumption; nearest codeword problem; Application software; Computer applications; Computer science; Cryptography; Educational institutions; Equations; Gaussian processes; Lattices; Mathematics; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2005. FOCS 2005. 46th Annual IEEE Symposium on
  • Print_ISBN
    0-7695-2468-0
  • Type

    conf

  • DOI
    10.1109/SFCS.2005.40
  • Filename
    1530716