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Related Experiment Videos

Proportional hazards in information security.

Julie J C H Ryan1, Daniel J Ryan

  • 1The George Washington University, Washingto DC 20052, USA. jjchryan@gwu.edu.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|March 25, 2005
PubMed
Summary
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This study introduces a method to analyze system failures in information security by considering competing risks and system configurations. It helps optimize security investments by correlating system longevity with specific countermeasures and operational choices.

Area of Science:

  • Information Security
  • System Reliability Engineering
  • Risk Management

Background:

  • Traditional nonparametric methods for analyzing system failure times in information security do not fully utilize available system configuration data.
  • Existing approaches often overlook the complex interplay of various failure causes and system design factors.

Purpose of the Study:

  • To develop an enhanced analytical framework for information security that incorporates system configurations and competing risks.
  • To provide guidance for optimizing investments in information security by correlating system longevity with security measures.

Main Methods:

  • Utilizing a competing risks framework to model system failures from various causes (confidentiality, integrity, availability).
  • Determining correlation coefficients between system longevity and specific security treatments (design enhancements, countermeasures).

Related Experiment Videos

  • Analyzing system exposure based on operational functionality choices.

    • Main Results:

    • The proposed approach effectively leverages supplemental information on system configurations, outperforming methods that ignore such data.
    • Identified proportional hazards for uncorrelated failure risks, simplifying risk assessment.
    • Established correlations between specific security interventions and improved system survival times.

    Conclusions:

    • Integrating system configuration data and a competing risks approach offers a more comprehensive analysis of information security failures.
    • This methodology provides data-driven insights for prioritizing security investments and enhancing system resilience.
    • The findings support strategic decision-making in information security by linking technical choices to system longevity and risk reduction.