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Roles in cryptographic protocols

Authors: E. Snekkenes;

Roles in cryptographic protocols

Abstract

In protocols for the distribution of symmetric keys, a principal will usually either take on the role as a session key provider or as a session key user. A principal taking on the role as session key user may also act as the master or the slave. Methods for the analysis of cryptographic protocols that fail to properly handle multiple roles are demonstrated to yield undependable results. A protocol, KP, similar to the Needham and Schroeder symmetric key distribution protocol (1978) is presented. An example is provided to show how a multirole flaw in KP can be utilized by an adversary to obtain a session key. Using a method due to M. Burrows et al. (1989) and P. Bieber (1990) it is shown that KP seems to be suitable for secure key distribution. The approach due to P. Bieber is then modified to facilitate the detection of the class of multirole flaws. >

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    citations
    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).
    31
    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.
    Average
    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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Found an issue? Give us feedback
citations
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!
31
Average
Top 10%
Top 10%
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