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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/114966...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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On the Security Models of (Threshold) Ring Signature Schemes

Authors: Joseph K. Liu; Duncan S. Wong;

On the Security Models of (Threshold) Ring Signature Schemes

Abstract

We make fine-grained distinctions on the security models for provably secure ring signature schemes. Currently there are two commonly used security models which are specified by Rivest et al. [1] and Abe et al. [1]. They offer different levels of security. In this paper, we introduce a new but compatible model whose security level can be considered to be lying in between these two commonly used models. It is important to make fine-grained distinctions on the security models because some schemes may be secure in some of the models but not in the others. In particular, we show that the bilinear map based ring signature scheme of Boneh et al. [4], which have been proven secure in the weakest model (the one specified by Rivest et al. [15]), is actually insecure in stronger models (the new model specified by us in this paper and the one specified by Abe et al. [1]). We also propose a secure modification of their scheme for each of the two stronger models. In addition, we propose a threshold ring signature scheme using bilinear maps and show its security against adaptive adversaries in the strongest model defined in this paper. Throughout the paper, we carry out all of the security analyses under the random oracle assumption.

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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!
25
Top 10%
Top 10%
Top 10%
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