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Cyber and digital resilience

Cyber risk becomes systemic when shared software, shared providers or shared protocols let one compromise or one outage reach many organisations at once.

03Simulator

A cascade through interdependent networks.

A hazard footprint takes out co-located assets in every layer; fragmentation, dependency between layers and overload of the survivors then spread the failure. The 3D view separates the layers by depth. Teaching model with stated illustrative values, not a prediction.

Controls

Assets per layer
18
Hazard footprint
8% of area
Assets that depend on another layer
60%
Spare capacity (tolerance)
30%

Readouts

Assets hit by the hazard
17%
Assets still working
57%
Amplification of the initial damage
2.6 times
Steps to settle
2
Numbers, methods and sources
StepData centres working (%)Networks working (%)Power working (%)
0789478
1448372
2446167

Methods

  1. Interdependent networks Buldyrev and others (2010), Catastrophic cascade of failures in interdependent networks, Nature 464
  2. Overload cascades Motter and Lai (2002), Physical Review E 66
  3. Betweenness load Brandes (2001), Journal of Mathematical Sociology 25
  4. Multilayer networks Kivela and others (2014), Journal of Complex Networks 2
  5. Infrastructure interdependencies Rinaldi, Peerenboom and Kelly (2001), IEEE Control Systems 21(6)
  6. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  7. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:

  • Major roads Natural Earth
  • Railways Natural Earth
  • Seaports Natural Earth
  • Airports Natural Earth
  • Urban extents Natural Earth
  • Night lights tonight, outages (VIIRS Day/Night Band) NASA/NOAA VIIRS (Suomi NPP) · register nasa.gibs.context-live-layers
  • Natural events (NASA EONET) NASA EONET · register nasa.eonet.events
A cascade through interdependent networks. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Interdependent networks (Buldyrev and others (2010), Catastrophic cascade of failures in interdependent networks, Nature 464); Overload cascades (Motter and Lai (2002), Physical Review E 66); Betweenness load (Brandes (2001), Journal of Mathematical Sociology 25).

Across the six pillars, led by Nexus Consortium

04The systemic question

Common dependencies and correlated outages.

A widely used library vulnerability, a cloud region outage, a faulty update pushed to endpoints worldwide, or ransomware against a managed service provider produce correlated losses across sectors. Insurers and supervisors model these as accumulation scenarios; operators experience them as a dependency they could not see in their own risk register.

  • Software supply chain: provenance and integrity of components (SBOM, SLSA).
  • Concentration in cloud, identity and content delivery providers.
  • Operational technology where cyber events have physical consequences.
  • Cryptographic transition as quantum computing matures.
05Frameworks

Standards and regulation.

Framework or bodyWhat it governs or supplies
NIST Cybersecurity Framework 2.0Govern, identify, protect, detect, respond and recover
ISO/IEC 27001Information security management systems
EU NIS2 and DORACybersecurity duties for essential entities and digital operational resilience in finance
MITRE ATT&CK and CISA Known Exploited VulnerabilitiesShared threat and vulnerability knowledge
06Couplings

Digital dependencies everywhere.

The science sits on Cyber and Digital Resilience; methods start from cybersecurity.

09Questions

Questions and answers.

Why does GCRI host field gateways?
GCRI hosts the shared references of the Consortium, including the STEM Commons and the field gateways, so each field has one place that links all three institutions’ work.
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