A model with applications for data survivability in Critical Infrastructures
Michele Albano, Stefano Chessa, Roberto Di Pietro, Largo B. Pontecorvo, Largo S. Leonardo · 2009
Abstract: Information assurance in Critical Infrastructures (CIs) is a problem of great practical interest and a challeng-ing research field. Within this scope we focus on the problem of monitoring of CIs. In particular, we propose a model to max-imize the amount of monitoring-related data that can survive after a portion of the CI suffers a disaster. The proposed model addresses a specific CI—oil pipelines—, and it is built on the hypothesis that the monitoring data are provided by means of wireless sensor networks. In particular, we consider a CI where the sensors are deployed along the pipelines and execute a com-mon monitoring task with a given sampling rate. In order to ensure data availability the sensors replicate the sensed data to their peers. This model poses a few unique challenges, calling for the optimization of competing system parameters. For in-stance, a higher sampling rate would allow, on one hand, a finer-