Distributed parameter generation for bilinear diffie hellman exponentiation and applications

Aggelos Kiayias, Ozgur Oksuz, Qiang Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Distributed parameter and key generation plays a fundamental role in cryptographic applications and is motivated by the need to relax the trust assumption on a single authority that is responsible for producing the necessary keys for cryptographic algorithms to operate. There are many well-studied distributed key generation protocols for the discrete logarithm problem. In this paper, building upon previous distributed key generation protocols for discrete logarithms, we provide two new building blocks that one can use them in a sequential fashion to derive distributed parameter generation protocols for a class of problems in the bilinear groups setting, most notably the n-Bilinear Diffie Hellman Exponentiation problem. Based on this we present new applications in distributed multi-party oriented cryptographic schemes including decentralized broadcast encryption, revocation systems and identity based encryption.

Original languageEnglish (US)
Title of host publicationInformation Security - 18th International Conference, ISC 2015, Proceedings
EditorsJavier Lopez, Chris J. Mitchell
PublisherSpringer Verlag
Pages548-567
Number of pages20
ISBN (Print)9783319233178
DOIs
StatePublished - 2015
Externally publishedYes
Event18th International Conference on Information Security, ISC 2015 - Trondheim, Norway
Duration: Sep 9 2015Sep 11 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9290
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Information Security, ISC 2015
Country/TerritoryNorway
CityTrondheim
Period9/9/159/11/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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