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https://doi.org/10.1109/allert...
Article . 2010 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2011
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2011
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Using a secret key to foil an eavesdropper

Authors: Paul Cuff;

Using a secret key to foil an eavesdropper

Abstract

This work addresses private communication with distributed systems in mind. We consider how to best use secret key resources and communication to transmit signals across a system so that an eavesdropper is least capable to act on the signals. One of the key assumptions is that the private signals are publicly available with a delay---in this case a delay of one. We find that even if the source signal (information source) is memoryless, the design and performance of the optimal system has a strong dependence on which signals are assumed to be available to the eavesdropper with delay. Specifically, we consider a distributed system with two components where information is known to only one component and communication resources are limited. Instead of measuring secrecy by "equivocation," we define a value function for the system, based on the actions of the system and the adversary, and characterize the optimal performance of the system, as measured by the average value obtained against the worst adversary. The resulting optimal rate-payoff region is expressed with information theoretic inequalities, and the optimal communication methods are not standard source coding techniques but instead are methods that stem from synthesizing a memoryless channel.

Allerton 2010, 6 pages, 1 figure, uses IEEEtran.cls

Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Cryptography and Security, 94A62, Computer Science - Information Theory, Information Theory (cs.IT), Cryptography and Security (cs.CR), H.1.1

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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!
15
Average
Top 10%
Top 10%
Green