Information theoretically secure oblivious polynomial evaluation: Model, bounds, and constructions

Goichiro Hanaoka, Hideki Imai, Joern Mueller-Quade, Anderson C.A. Nascimento, Akira Otsuka, Andreas Winter

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

8 Scopus citations

Abstract

We introduce an information theoretical model for oblivious polynomial evaluation relying on predistributed data, and prove very general lower bounds on the size of the predistributed data, as well as the size of the communications in any (one-round) protocol. We then show that these bounds are tight by exhibiting a scheme for oblivious polynomial evaluation achieveing all the lower bounds simultaneously. We also present a natural generalisation to oblivious linear function evaluation.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHuaxiong Wang, Josef Pieprzyk, Vijay Varadharajan
PublisherSpringer Verlag
Pages62-73
Number of pages12
ISBN (Print)9783540223795
DOIs
StatePublished - 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3108
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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