Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. Computer Science and Artificial Intelligence Lab (CSAIL)
  3. CSAIL Digital Archive
  4. CSAIL Technical Reports (July 1, 2003 - present)
  5. Implementing Probabilistically Checkable Proofs of Proximity

Implementing Probabilistically Checkable Proofs of Proximity

Thumbnail Image
Download
Name

MIT-CSAIL-TR-2005-051.ps

Size

12.67 MB

Format

PostScript

Checksum (MD5)

34b59128bd7adf8701e6a2fe19712607

Thumbnail Image
Download
Name

MIT-CSAIL-TR-2005-051.pdf

Size

621.72 KB

Format

Adobe PDF

Checksum (MD5)

c71f42a6968dd6462c69728f3e6d679f

Author(s)
Bhattacharyya, Arnab
Date Issued
August 8, 2005
Series/Report no.
Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
Abstract
Abstract: In this paper, we describe a proof-of-concept implementation of the probabilistically checkable proof of proximity (PCPP) system described by Ben-Sasson and Sudan in \\cite{bs05}. In particular, we implement a PCPP prover and verifier for Reed-Solomon codes; the prover converts an evaluation of a polynomial on a linear set into a valid PCPP, while the verifier queries the evaluation and the PCPP to check that the evaluation is close to a Reed-Solomon codeword. We prove tight bounds on the various parameters associated with the prover and verifier and describe some interesting programmatic issues that arise during their implementation.
Persistent DSpace Link
http://hdl.handle.net/1721.1/30562
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.