Analyzing and Improving Stochastic Network Security: A Multicriteria Prescriptive Risk Analysis Model

Abstract

This research optimized two measures of network security by hardening components and improving their reliability. A common measure of effectiveness (MOE) for networks is statistical reliability, which ignores the effects of hostile actions. A new MOE which includes hostile actions was developed. Both measures require component reliability functions, derived using fault trees. Fuzzy Logic and Monte Carlo simulation were used to quantify uncertainty. Results from the model are compared to traditional Risk Assessment results.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1997
Accession Number
ADA326934

Entities

People

  • David L. Lyle

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Network Security
  • Department Of Defense
  • Fuzzy Logic
  • Fuzzy Sets
  • Game Theory
  • Linear Programming
  • Logic
  • Monte Carlo Method
  • Multiobjective Optimization
  • Operations Research
  • Risk
  • Risk Analysis
  • Set Theory
  • Simulations
  • Standards
  • Vulnerability

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Cyber
  • Cyber - Cryptography