Short answer

Incorporate dynamic simulation and agent-based modelling into the design process to proactively assess and mitigate the impact of cyber threats on system functionality and mission assurance.

Field: Modelling
Source: Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (2015)
Method: Agent-based dynamic network modelling and simulation
Evidence: Strong effect

Simulating sociotechnical systems with agent-based models allows for rapid assessment of mission assurance under cyber-attack scenarios. This modelling research insight is drawn from a 2015 study published in Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). Using Agent-based dynamic network modelling and simulation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate dynamic simulation and agent-based modelling into the design process to proactively assess and mitigate the impact of cyber threats on system functionality and mission assurance.

Study

ModellingHigh ImpactStrong effect

Agent-based models can predict mission assurance impacts of cyber-attacks

Simulating sociotechnical systems with agent-based models allows for rapid assessment of mission assurance under cyber-attack scenarios.

Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) · 2015

Key Findings

01Cyber-attack impact assessment is nuanced, depending on the attack, organization, and measurement methods.
02For well-staffed organizations, many cyber-attacks are minor nuisances; only multi-pronged or severe attacks cause significant mission failure.
03Organizations can be designed for resiliency, and guidelines for achieving this can be developed.

Application

Design takeaway

Incorporate dynamic simulation and agent-based modelling into the design process to proactively assess and mitigate the impact of cyber threats on system functionality and mission assurance.

How to apply

Utilize agent-based modelling software to create simulations of your system, introducing simulated cyber-attacks to observe their effects on key performance indicators and identify critical vulnerabilities.

Project actions

01When modelling, clearly define the agents (e.g., users, systems) and their interactions.
02Consider using existing simulation platforms that support agent-based modelling.

Method & Evidence

AimHow can agent-based dynamic network models be used to rapidly assess the command-level effects of cyber-attacks on information processing organizations?

MethodAgent-based dynamic network modelling and simulation

ProcedureText mining was used to construct agent-based dynamic network models of information processing organizations. These models were then used to simulate the impacts of various cyber-attack scenarios on confidentiality, integrity, and availability.

ContextInformation assurance and cybersecurity within organizations

Variables

IVNature of cyber-attack (e.g., type, severity, scope)

DVMission assurance metrics (e.g., confidentiality, integrity, availability, mission success rate)

CVOrganizational structure, size, staffing levels, mission objectives, network topology

Strengths & Limitations

Strengths

+Provides a dynamic and predictive approach to assessing cyber threats.
+Offers insights into designing for organizational resilience.

Limitations

Building accurate agent-based models can be complex and time-consuming, requiring significant data and computational resources.

Reliability & validity

Reliability would be assessed by running the simulation multiple times with the same parameters to check for consistent outcomes. Validity would be a concern, as the model's ability to accurately reflect real-world cyber-attack impacts is difficult to definitively prove without extensive empirical data.

Think critically

To what extent can agent-based models truly capture the complexity and emergent behaviors of real-world sociotechnical systems, and what are the ethical implications of relying on such models for critical decision-making?

Design Principles

"Model complex systems dynamically to predict emergent behaviors and vulnerabilities under stress."

Understanding the potential impact of cyber threats on an organization's ability to function is crucial for proactive design and risk mitigation. Modelling and simulation provide a dynamic and predictive approach, moving beyond static assessments to explore complex interactions and forecast outcomes.

What This Means for Your Design

You can use computer models to pretend cyber-attacks are happening to your design and see how well it still works, helping you make it stronger.

How to use in your project

1.Use the concept of agent-based modelling to justify the creation of a simulation for your design project, explaining how it helps assess vulnerabilities.
2.Reference the findings on attack severity and organizational resilience to support your design decisions.

Add to My Project

Quick Cite

Paragraph starter

This research highlights the utility of agent-based dynamic network modelling for assessing mission assurance in sociotechnical systems under cyber-attack. By simulating organizational responses and vulnerabilities, designers can move beyond anecdotal evidence to quantitatively predict the impact of threats, informing the development of more resilient and secure designs.

Source

Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)

Rapid Mission Assurance Assessment via Sociotechnical Modeling and Simulation

journal · 2015

View source

Questions About This Research

What does the research say about agent-based models can predict mission assurance impacts of cyber-attacks?: Incorporate dynamic simulation and agent-based modelling into the design process to proactively assess and mitigate the impact of cyber threats on system functionality and mission assurance. Evidence: Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (2015).
Why does "Agent-based models can predict mission assurance impacts of cyber-attacks" matter for design?: Understanding the potential impact of cyber threats on an organization's ability to function is crucial for proactive design and risk mitigation. Modelling and simulation provide a dynamic and predictive approach, moving beyond static assessments to explore complex interactions and forecast outcomes.
How can designers apply this research?: Incorporate dynamic simulation and agent-based modelling into the design process to proactively assess and mitigate the impact of cyber threats on system functionality and mission assurance.
What were the main findings?: Cyber-attack impact assessment is nuanced, depending on the attack, organization, and measurement methods.. For well-staffed organizations, many cyber-attacks are minor nuisances; only multi-pronged or severe attacks cause significant mission failure.. Organizations can be designed for resiliency, and guidelines for achieving this can be developed.
What research method was used?: Agent-based dynamic network modelling and simulation.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2015 journal from Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
What should I do differently in my next project?: Utilize agent-based modelling software to create simulations of your system, introducing simulated cyber-attacks to observe their effects on key performance indicators and identify critical vulnerabilities.
What are the limitations?: The accuracy of the models is dependent on the quality and completeness of the text data used for their construction, and the models represent simplified versions of real-world organizations.