ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1309.1596
111
33
v1v2v3v4 (latest)

Security analysis of epsilon-almost dual universal2 hash functions

6 September 2013
Masahito Hayashi
ArXiv (abs)PDFHTML
Abstract

Recently, epsilon-almost dual universal2 hash functions has been proposed as a new and wider class of hash function. This paper evaluates the security performance when we apply this kind of hash functions. We evaluate the security in several kind of setting based on the L1 distinguishability criterion and the modified mutual information criterion. The obtained evaluation is based on smoothing of Renyi entropy of order 2 and/or min entropy. Further, we apply this analysis to the secret key generation with error correction.

View on arXiv
Comments on this paper