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http://www.cse.ucsd.edu/~mihir...
Part of book or chapter of book
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https://doi.org/10.1007/119676...
Part of book or chapter of book . 2006 . Peer-reviewed
License: Springer TDM
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Identity-Based Multi-signatures from RSA

Authors: Mihir Bellare; Gregory Neven;

Identity-Based Multi-signatures from RSA

Abstract

Multi-signatures allow multiple signers to jointly authenticate a message using a single compact signature. Many applications however require the public keys of the signers to be sent along with the signature, partly defeating the effect of the compact signature. Since identity strings are likely to be much shorter than randomly generated public keys, the identity-based paradigm is particularly appealing for the case of multi-signatures. In this paper, we present and prove secure an identity-based multi-signature (IBMS) scheme based on RSA, which in particular does not rely on (the rather new and untested) assumptions related to bilinear maps. We define an appropriate security notion for interactive IBMS schemes and prove the security of our scheme under the one-wayness of RSA in the random oracle model.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%