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Security Meter: A Practical Decision-Tree Model to Quantify Risk
May/June 2005 (vol. 3 no. 3)
pp. 18-24
ASCII Text
x 
 
Mehmet Sahinoglu, "Security Meter: A Practical Decision-Tree Model to Quantify Risk," IEEE Security and Privacy, vol. 3, no. 3, pp. 18-24, May/June, 2005.
 
 
BibTex
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@article{ 10.1109/MSP.2005.81,
author = {Mehmet Sahinoglu},
title = {Security Meter: A Practical Decision-Tree Model to Quantify Risk},
journal ={IEEE Security and Privacy},
volume = {3},
number = {3},
issn = {1540-7993},
year = {2005},
pages = {18-24},
doi = {http://doi.ieeecomputersociety.org/10.1109/MSP.2005.81},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Security and Privacy
TI - Security Meter: A Practical Decision-Tree Model to Quantify Risk
IS - 3
SN - 1540-7993
SP18
EP24
EPD - 18-24
A1 - Mehmet Sahinoglu,
PY - 2005
KW - quantify
KW - measuring risk
KW - threats
KW - qualitative design
KW - security meter
VL - 3
JA - IEEE Security and Privacy
ER -
 
Mehmet Sahinoglu, Troy University
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.
Index Terms:
quantify, measuring risk, threats, qualitative design, security meter
Citation:
Mehmet Sahinoglu, "Security Meter: A Practical Decision-Tree Model to Quantify Risk," IEEE Security and Privacy, vol. 3, no. 3, pp. 18-24, May/June 2005, doi:10.1109/MSP.2005.81
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