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Computer Communications
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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DBLP
Article . 2023
Data sources: DBLP
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On the optimal resistance against mafia and distance fraud in distance-bounding protocols

Authors: Reynaldo Gil Pons; Sjouke Mauw; Rolando Trujillo-Rasua;

On the optimal resistance against mafia and distance fraud in distance-bounding protocols

Abstract

Distance-bounding protocols are security protocols with a time measurement phase used to detect relay attacks, whose security is typically measured against mafia-fraud and distance-fraud attacks. A prominent subclass of distance-bounding protocols, known as lookup-based protocols, use simple lookup operations to diminish the impact of the computation time in the distance calculation. Independent results have found theoretical lower bounds [Formula presented] and [Formula presented], where n is the number of time measurement rounds, on the security of lookup-based protocols against mafia and distance-fraud attacks, respectively. However, it is still an open question whether there exists a protocol achieving both security bounds. This article closes this question in two ways. First, we prove that the two lower bounds are mutually exclusive, meaning that there does not exist a lookup-based protocol that provides optimal protection against both types of attacks. Second, we provide a lookup-based protocol that approximates those bounds by a small constant factor. Our experiments show that, restricted to a memory size that linearly grows with n, our protocol offers strictly better security than previous lookup-based protocols against both types of fraud.

peer reviewed

Country
Luxembourg
Keywords

Sciences informatiques, Relay attack, Distance-bounding protocols, Security, Distance fraud, Mafia fraud, Computer science, Security protocols, Engineering, computing & technology, Ingénierie, informatique & technologie

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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!
0
Average
Average
Average
Green
hybrid