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https://doi.org/10.1007/117555...
Part of book or chapter of book . 2006 . Peer-reviewed
License: Springer TDM
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TATA: Towards Anonymous Trusted Authentication

Authors: Daniele Quercia; Stephen Hailes; Licia Capra;

TATA: Towards Anonymous Trusted Authentication

Abstract

Mobile devices may share resources even in the presence of untrustworthy devices. To do so, each device may use a computational model that on input of reputation information produces trust assessments. Based on such assessments, the device then decides with whom to share: it will likely end up sharing only with the most trustworthy devices, thus isolating the untrustworthy ones. All of this is, however, theoretical in the absence of a general and distributed authentication mechanism. Currently, distributed trust frameworks do not offer an authentication mechanism that supports user privacy, whilst being resistant to “Sybil attacks”. To fill the gap, we first analyze the general attack space that relates to anonymous authentication as it applies to distributed trust models. We then put forward a scheme that is based on blinded threshold signature: collections of devices certify pseudonyms without seeing them and without relying on a central authority. We finally discuss how the scheme tackles the authentication attacks.

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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!
8
Average
Top 10%
Top 10%
Related to Research communities