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Unit Outline Quantitative Risk Analysis

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Unit Outline Quantitative Risk Analysis Module 1: Quantitative Risk Analysis and ALE Module 2: Case Study Module 3: Cost Benefit Analysis and Regression Testing – PowerPoint PPT presentation

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Title: Unit Outline Quantitative Risk Analysis


1
Unit OutlineQuantitative Risk Analysis
  • Module 1 Quantitative Risk Analysis and ALE
  • Module 2 Case Study
  • Module 3 Cost Benefit Analysis and Regression
    Testing
  • Module 4 Modeling Uncertainties
  • ? Module 5 Summary

2
Summary Quantitative Risk Analysis
  • Risk Exposure
  • RISK EXPOSURE RISK IMPACT x RISK PROBABILITY
  • Annual Loss Expectancy (ALE)
  • Identify and determine the value of assets
  • Determine vulnerabilities
  • Estimate likelihood of exploitation
  • Compute ALE
  • Survey applicable controls and their costs
  • Perform a cost-benefit analysis

3
Summary Qualitative Risk Analysis
  • Risk Aggregation
  • Optimization
  • simple formulation
  • Cost Benefit Analysis
  • LEVERAGE (RISK EXPOSUREbefore reduction
    RISK EXPOSUREafter reduction)
    ________________________________________________

    COST OF REDUCTION
  • Decision Tree
  • Graphical method for cost-benefit analysis
  • Monte Carlo Simulation
  • 1)Develop risk model, 2) Define the shape and
    parameters, 3)Run simulation, 4)Build histogram,
    5)Compute summary statistics, 6)Perform
    sensitivity analysis, 7)Analyze potential
    dependency relationship

4
Suggested Reading Quantitative Risk Analysis
  • Alberts, C., Dorofee, A. (2003). Managing
    Information Security Risks The OCTAVESM
    Approach. New York, NY Addison-Wesley.
  • Barber, B. and Davey, J. (1992). The use of the
    CCTA risk analysis and management methodology
    CRAMM. Proc. MEDINFO92, North Holland, 1589
    1593.
  • Stolen, K., den Braber, F. Dimitrakos T.
    (2002). Model-based Risk Assessment The CORAS
    Approach.

5
AcknowledgementsGrants and Personnel
  • Support for this work has been provided through
    grants from the following agencies
  • National Science Foundation (NSF 0210379)
  • Department of Education (FIPSE)
  • Damira Pon, from the Center of Information
    Forensics and Assurance contributed extensively
    by reviewing and editing the material
  • Robert Bangert-Drowns from the School of
    Education reviewed the material from a
    pedagogical view.
  • Melissa Dark Ting Zhuang from Purdue University
    provided a critique of the material and
    facilitated creation of a distance delivery
    version of the course.
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