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Introducing epidemic models for data survivability in Unattended Wireless Sensor Networks

One of the most relevant issues pertaining UWSN
is to guarantee a certain level of information survivability,
even in presence of a powerful attacker. In this paper, we
provide a preliminary assessment of epidemic-domain inspired
approaches to model the information survivability in UWSN.
In particular, we show that epidemic models can be used to set
up the parameters that allow the information to survive, once
estimated the maximal compromising power of the attacker.
Further, we point out that the mere application of these models
is not always the right choice. Indeed, it comes out that these
deterministic models are not enough accurate, and “unlikely”
events can cause the loss of the datum. Finally, we provide
some final comments, as well as promising research directions.


Wowmom, Lucca, 2011

Autori esterni: Nino Vincenzo Verde (Uni Roma Tre)
Autori IIT:

Tipo: Articolo in Atti di convegno internazionale con referee
Area di disciplina: Computer Science & Engineering

File: DSPAN_epidemio.pdf