 |
Critical Infrastructure Protection IX 9th IFIP 11.10 International Conference, ICCIP 2015, Arlington, VA, USA, March 16-18, 2015 |
 |
Conference papers
Situational Awareness Using Distributed Data Fusion with Evidence Discounting
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.
Cited literature [24 references]
https://hal.inria.fr/hal-01431007
Contributor : Hal Ifip <>
Submitted on : Tuesday, January 10, 2017 - 2:56:08 PM
Last modification on : Wednesday, October 14, 2020 - 4:11:55 AM
Long-term archiving on: : Tuesday, April 11, 2017 - 3:16:41 PM
Contributor : Hal Ifip <>
Submitted on : Tuesday, January 10, 2017 - 2:56:08 PM
Last modification on : Wednesday, October 14, 2020 - 4:11:55 AM
Long-term archiving on: : Tuesday, April 11, 2017 - 3:16:41 PM
File
978-3-319-26567-4_17_Chapter.p...
Files produced by the author(s)
Licence
Distributed under a Creative Commons Attribution 4.0 International License