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Online Research Database In Technology
Contribution for newspaper or weekly magazine . 2015
https://doi.org/10.1109/csf.20...
Article . 2015 . Peer-reviewed
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DBLP
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Set-Pi: Set Membership p-Calculus

Authors: Alessandro Bruni; Sebastian Mödersheim; Flemming Nielson; Hanne Riis Nielson;

Set-Pi: Set Membership p-Calculus

Abstract

Communication protocols often rely on stateful mechanisms to ensure certain security properties. For example, counters and timestamps can be used to ensure authentication, or the security of communication can depend on whether a particular key is registered to a server or it has been revoked. ProVerif, like other state of the art tools for protocol analysis, achieves good performance by converting a formal protocol specification into a set of Horn clauses, that represent a monotonically growing set of facts that a Dolev-Yao attacker can derive from the system. Since this set of facts is not state-dependent, the category of protocols of our interest cannot be precisely analysed by such tools, as they would report false attacks due to the over-approximation. In this paper we present Set-p, an extension of the Applied p-calculus that includes primitives for handling databases of objects, and propose a translation from Set-p into Horn clauses that employs the set-membership abstraction to capture the non-monotonicity of the state. Furthermore, we give a characterisation of authentication properties in terms of the set properties in the language, and prove the correctness of our approach. Finally we showcase our method with three examples, a simple authentication protocol based on counters, a key registration protocol, and a model of the Yubikey security device.

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Denmark
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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!
10
Average
Average
Top 10%