Book Image

How to Measure Anything in Cybersecurity Risk

By : Douglas W. Hubbard, Richard Seiersen
Book Image

How to Measure Anything in Cybersecurity Risk

By: Douglas W. Hubbard, Richard Seiersen

Overview of this book

How to Measure Anything in Cybersecurity Risk exposes the shortcomings of current “risk management” practices, and offers a series of improvement techniques that help you fill the holes and ramp up security. In his bestselling book How to Measure Anything, author Douglas W. Hubbard opened the business world’s eyes to the critical need for better measurement. This book expands upon that premise and draws from The Failure of Risk Management to sound the alarm in the cybersecurity realm. Some of the field’s premier risk management approaches actually create more risk than they mitigate, and questionable methods have been duplicated across industries and embedded in the products accepted as gospel. This book sheds light on these blatant risks and provides alternate techniques that can help improve your current situation. You’ll also learn which approaches are too risky to save and are actually more damaging than a total lack of any security. Dangerous risk management methods abound; there is no industry more critically in need of solutions than cybersecurity. This book provides solutions where they exist and advises when to change tracks entirely.
Table of Contents (12 chapters)
Free Chapter
1
Foreword
2
Foreword
3
Acknowledgments
4
About the Authors
9
Index
10
EULA

Distribution Name: Binary

Bar graph: .2-.8 versus 0-1 has bars for 0 extending to height of .4, for one extending up to height of .6 of y-axis.

Figure A.2 Binary Distribution

Parameters:

  • P (Event probability)

Note that P is between 0 and 1. It represents how frequently the simulation will randomly produce an event.

Unlike the other distributions mentioned here, a discrete binary distribution (also known as a Bernoulli distribution) generates just two possible outcomes: success or failure. The probability of success is p and the probability of failure is q = (1 – p). For example, if success means to flip a fair coin heads-up, the probability of success is p = .5, and the probability of failure is q = (1 – .5) = .5.

  • When to Use: This is used in either/or situations—something either happens or it doesn’t.
  • Example: The occurrence of a data breach in a given period of time.
  • Excel Formula: =if(rand() < P,1,0)
  • Mean: =P