Introducing epidemic models for data survivability in Unattended Wireless Sensor Networks

One of the most relevant issues pertaining UWSNis to guarantee a certain level of information survivability,even in presence of a powerful attacker. In this paper, weprovide a preliminary assessment of epidemic-domain inspiredapproaches to model the information survivability in UWSN.In particular, we show that epidemic models can be used to setup the parameters that allow the information to survive, onceestimated the maximal compromising power of the attacker.Further, we point out that the mere application of these modelsis not always the right choice. Indeed, it comes out that thesedeterministic models are not enough accurate, and ?unlikely?events can cause the loss of the datum. Finally, we providesome final comments, as well as promising research directions.