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Key Grids: A Protocol Family for Assigning Symmetric Keys

Authors: Amitanand S. Aiyer; Lorenzo Alvisi; Mohamed G. Gouda;

Key Grids: A Protocol Family for Assigning Symmetric Keys

Abstract

We describe a family of log n protocols for assigning symmetric keys to n processes in a network so that each process can use its assigned keys to communicate securely with every other process. The k-th protocol in our protocol family, where 1 les k les log n, assigns O(k2 kradicn) symmetric keys to each process in the network. (Thus, our (log n)-th protocol assigns O(log2 n) symmetric keys to each process. This is not far from the lower bound of O(log n) symmetric keys which we show is needed for each process to communicate securely with every other process in the network.) The protocols in our protocol family can be used to assign symmetric keys to the processes in a sensor network, or ad-hoc or mobile network, where each process has a small memory to store its assigned keys. We also discuss the vulnerability of our protocols to "collusion". In particular, we show that kradicn colluding processes can compromise the security of the k-th protocol in our protocol family.

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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%
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