Determining and Sharing Risk Data in Distributed Interdependent Systems

Pete Burnap, Yulia Cherdantseva, Andrew Blyth, Peter Eden, Kevin Jones, Hugh Soulsby, Kristan Stoddart

Research output: Contribution to journalArticlepeer-review

18 Downloads (Pure)

Abstract

Any risk analysis of a large infrastructure that does not account for external dependencies is dangerously introspective. A top-down, goal-to-dependencies modeling approach can capture interdependencies and allow supply-chain entities to securely share risk data, calculate the likely impact of a failure, and respond accordingly.
Original languageEnglish
Pages (from-to)72-79
JournalComputer
Volume50
Issue number4
DOIs
Publication statusPublished - 26 Apr 2017

Keywords

  • risk assessment
  • vulnerability assessments
  • vulnerability analysis
  • Sensitivity analysis
  • failure mode analysis
  • interdependent systems
  • distributed systems
  • complex systems
  • Bayes methods
  • analytical models
  • biological system modeling
  • risk management
  • power generation
  • data models

Fingerprint

Dive into the research topics of 'Determining and Sharing Risk Data in Distributed Interdependent Systems'. Together they form a unique fingerprint.

Cite this