Determining and Sharing Risk Data in Distributed Interdependent Systems

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

doi:10.1109/MC.2017.108

Determining and Sharing Risk Data in Distributed Interdependent Systems

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

Department of International Politics

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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 language	English
Pages (from-to)	72-79
Number of pages	9
Journal	Computer
Volume	50
Issue number	4
DOIs	https://doi.org/10.1109/MC.2017.108
Publication status	Published - 26 Apr 2017

Keywords

risk assessment
vulnerability analysis
senstivity analysis
failrue mode analysis
interdependent systems
distributed systems

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title = "Determining and Sharing Risk Data in Distributed Interdependent Systems",

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AU - Soulsby, Hugh

AU - Stoddart, Kristan

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KW - senstivity analysis

KW - failrue mode analysis

KW - interdependent systems

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Determining and Sharing Risk Data in Distributed Interdependent Systems

Abstract

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