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IT Security Metrics: A Practical Framework for Measuring Security & Protecting Data
book

IT Security Metrics: A Practical Framework for Measuring Security & Protecting Data

by Lance Hayden
August 2010
Intermediate to advanced
396 pages
12h 21m
English
McGraw-Hill
Content preview from IT Security Metrics: A Practical Framework for Measuring Security & Protecting Data

Index

References to figures are in italics.

A

academics, 145–146

agreement, measuring differences in, 13

ALE. See annualized loss expectancy (ALE)

ambiguous data, 293

analysis, 112–113

applied analysis, 113–114

central tendency, 125–127

confidence intervals, 135–136

consistency and accuracy of data, 118–119

content and text analysis, 143–144, 147

correlation, 137

data sources, 116–117

descriptive statistics, 122–130

dispersion, 127–129

exploratory analysis, 114–115

goals and objectives, 116

inferential analysis, 215–221

inferential statistics, 130–135

inter-rater reliability, 136–137

longitudinal, 137–139

missing data and outliers, 119–120

mixed method analysis, 141–147

narrative analysis, 283–286

pre-project GQM analysis, 153

process cost analysis, ...

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Publisher Resources

ISBN: 9780071713405