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https://doi.org/10.1109/csf.20...
Article . 2007 . Peer-reviewed
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Article . 2007
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Computationally Sound Mechanized Proofs of Correspondence Assertions

Authors: Bruno Blanchet;

Computationally Sound Mechanized Proofs of Correspondence Assertions

Abstract

We present a new mechanized prover for showing correspondence assertions for cryptographic protocols in the computational model. Correspondence assertions are useful in particular for establishing authentication. Our technique produces proofs by sequences of games, as standard in cryptography. These proofs are valid for a number of sessions polynomial in the security parameter, in the presence of an active adversary. Our technique can handle a wide variety of cryptographic primitives, including shared- and public-key encryption, signatures, message authentication codes, and hash functions. It has been implemented in the tool CryptoVerif and successfully tested on examples from the literature.

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    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).
    28
    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.
    Top 10%
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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!
28
Top 10%
Top 10%
Top 10%