Situational Awareness Using Distributed Data Fusion with Evidence Discounting

  • Antonio Di Pietro
  • Stefano Panzieri
  • Andrea Gasparri
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 466)

Abstract

Data fusion provides a means for combining pieces of information from various sources and sensors. This chapter presents a data fusion methodology for interdependent critical infrastructures that leverages a distributed algorithm that allows the sharing of the possible causes of faults or threats affecting the infrastructures, thereby enhancing situational awareness. Depending on the degree of coupling, the algorithm modulates the information content provided by each infrastructure using a data fusion technique called evidence discounting. The methodology is applied to a case study involving a group of dependent critical infrastructures. Simulation results demonstrate that the methodology is resilient to temporary faults in the critical infrastructure communications layer.

Keywords

Distributed data fusion cautious conjunctive rule evidence discounting 

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Antonio Di Pietro
    • 1
  • Stefano Panzieri
    • 2
  • Andrea Gasparri
    • 3
  1. 1.Laboratory for the Analysis and Protection of Critical InfrastructuresENEARomeItaly
  2. 2.Models for Critical Infrastructure Protection LaboratoryUniversity of Roma TreRomeItaly
  3. 3.University of Roma TreRomeItaly

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