Documents

DOI

Distributed fault diagnosis has been proposed as an effective technique for monitoring large scale, nonlinear and uncertain systems. It is based on the decomposition of the large scale system into a number of interconnected subsystems, each one monitored by a dedicated Local Fault Detector (LFD). Neighboring LFDs, in order to successfully account for subsystems interconnection, are thus required to communicate with each other some of the measurements from their subsystems. Anyway, such communication may expose private information of a given subsystem, such as its local input. To avoid this problem, we propose here to use differential privacy to pre-process data before transmission.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
Subtitle of host publicationProceedings of the 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2018)
EditorsSilvio Simani, Krzysztof Patan
Place of PublicationLaxenburg, Austria
PublisherIFAC - Elsevier
Pages975-982
Volume51-24
DOIs
Publication statusPublished - 2018
Event10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - Warsaw, Poland
Duration: 29 Aug 201831 Aug 2018

Publication series

NameIFAC-PapersOnLine
Number24
Volume51
ISSN (Print)2405-8963

Conference

Conference10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes
Abbreviated titleSAFEPROCESS 2018
CountryPoland
CityWarsaw
Period29/08/1831/08/18

    Research areas

  • Differential Privacy, Distributed Fault Diagnosis, Privacy Preserving, Uncertain Network of Nonlinear Systems

ID: 47136346