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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2011 . Peer-reviewed
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Identification Schemes from Key Encapsulation Mechanisms

Authors: ANADA, Hiroaki; ARITA, Seiko;

Identification Schemes from Key Encapsulation Mechanisms

Abstract

We propose a generic way for deriving an identification (ID) scheme secure against concurrent man-in-the-middle attacks from a key encapsulation mechanism (KEM) secure against chosen ciphertext attacks on one-wayness (oneway-CCA). Then we give a concrete one-way-CCA secure KEM based on the Computational Diffie-Hellman (CDH) assumption. In that construction, the Twin Diffie-Hellman technique of Cash, Kiltz and Shoup is essentially employed. We compare efficiency of the ID scheme derived from our KEM with previously known ID schemes and KEMs. It turns out that our KEM-based ID scheme reduces the computation by one exponentiation than the currently most efficient one derived from the Hanaoka-Kurosawa one-way-CCA secure KEM, whose security is based on the same (CDH) assumption.

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Keywords

concurrent man-in-the-middle attack, key encapsulation mechanism, the computational Diffie-Hellman assumption, identification scheme, one-way-CCA2 security

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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!
7
Average
Average
Top 10%