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Information-Theoretic Security as an Optimization Problem

Authors: Stefan Rass;

Information-Theoretic Security as an Optimization Problem

Abstract

Quantum key distribution is renowned for information-theoretic security on point-to-point connections, while it is by itself not directly capable of end-to-end security. Multipath transmission is known for perfect end-to-end security, provided that perfect point-to-point security is achievable. The marriage of the two is as natural as it is difficult to achieve in real life networks: secure multipath transmission imposes stringent requirements on the network connectivity, perhaps rarely found in a real-life network infrastructure. We consider the problem of network augmentation to support perfect end-to-end security in a network in which adjacent nodes share a perfectly confidential channel. Quantum networks are one example for this. Starting with a decision-theoretic formalization of risk and confidentiality, we cast the network augmentation task into a nonlinear optimization problem, whose computational complexity is studied. With the problem turning out NP-hard in at least two of its variants, we sketch heuristics that can help to keep calculations feasible in practical applications.

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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
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