Security Meter: A Practical Decision-Tree Model to Quantify Risk

  • Authors:
  • Mehmet Sahinoglu

  • Affiliations:
  • Troy University

  • Venue:
  • IEEE Security and Privacy
  • Year:
  • 2005

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Abstract

Several security risk templates employ nonquantitative attributes to express a risk's severity, which is subjective and void of actual figures. The author's design provides a quantitative technique with an updated repository on vulnerabilities, threats, and countermeasures to calculate risk.