• DocumentCode
    1465070
  • Title

    The hardness of the closest vector problem with preprocessing

  • Author

    Micciancio, Daniele

  • Author_Institution
    Dept. of Comput. Sci. & Eng., California Univ., San Diego, La Jolla, CA, USA
  • Volume
    47
  • Issue
    3
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    1212
  • Lastpage
    1215
  • Abstract
    We give a new simple proof of the NP-hardness of the closest vector problem. In addition to being much simpler than all previously known proofs, the new proof yields new interesting results about the complexity of the closest vector problem with preprocessing. This is a variant of the closest vector problem in which the lattice is specified in advance, and can be preprocessed for an arbitrarily long amount of time before the target vector is revealed. We show that there are lattices for which the closest vector problem remains hard, regardless of the amount of preprocessing
  • Keywords
    codes; computational complexity; decoding; polynomial approximation; NP-hardness; closest vector problem; codes; complexity; decoding; lattice; polynomial-time approximation algorithm; preprocessing; target vector; Approximation algorithms; Codes; Computational complexity; Cryptography; Decoding; Lattices; Polynomials; Signal design; Vector quantization; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.915688
  • Filename
    915688