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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb003...
Part of book or chapter of book . 1996 . Peer-reviewed
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Access with pseudonyms

Authors: Lidong Chen;

Access with pseudonyms

Abstract

In some systems, users might want to identify themselves by their pseudonyms. If access control is necessary, then a certificate of authorized access employing pseudonyms must be unforgeable. We call a certificate of authorized access a credential. If different pseudonyms which identify a user are to be unlinkable, the user must be able to choose his pseudonyms at random and to transfer the credential issued on one pseudonym to another pseudonym untraceably. However, in order to prevent forgery of the certificate, pseudonyms must be formed in a specific way. This work presents a pseudonym validation process based on discrete logarithms without using cut-and-choose. The certificates issued with pseudonyms are unforgeable. The privacy of users is protected unconditionally. This pseudonym system has the novel feature that each user has a validated public key relevant to each pseudonym, so that signatures can be made by pseudonyms.

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Powered by OpenAIRE graph
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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!
46
Top 10%
Top 1%
Average
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