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Verifiable signature sharing

Publication ,  Conference
Franklin, MK; Reiter, MK
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 1995

We introduce Verifiable Signature Sharing (VCS), a cryptographic primitive for protecting digital signatures. VCS enables the holder of a digitally signed document, who may or may not be the original signer, to share the signature among a set of proxies so that the honest proxies can later reconstruct it. We present efficient VCS schemes for exponentiation based signatures (e.g., RSA, Rabin) and discrete log based signatures (e.g., ElGamal, Schnorr, DSA) that can tolerate the malicious (Byzantine) failure of the sharer and a constant fraction of the proxies. We also describe our implementation of these schemes and evaluate their performance. Among the applications of VXS is the incorporation of digital cash into multiparty protocols, e.g., to enable cash escrow and secure distributed auctions.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1995

Volume

921

Start / End Page

50 / 63

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

APA
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ICMJE
MLA
NLM
Franklin, M. K., & Reiter, M. K. (1995). Verifiable signature sharing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 921, pp. 50–63). https://doi.org/10.1007/3-540-49264-X_5

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1995

Volume

921

Start / End Page

50 / 63

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences