Name: How to Measure Anything in Cybersecurity Risk (en Inglés)
Price: 167002.00 COP
Availability: InStock
Author: Hubbard, Douglas W. ; Seiersen, Richard
ISBN: 9781119892304

portada How to Measure Anything in Cybersecurity Risk (en Inglés)

Formato

Libro Físico

Autor

Douglas W. Hubbard

Richard Seiersen

Editorial

Wiley

Año

2023

Idioma

Inglés

N° páginas

368

Encuadernación

Tapa Dura

ISBN13

9781119892304

N° edición

0002

Categorías

Codificación, cifrado y criptología
Econometría
Ciencia e investigación: derecho universitario
Encriptación de datos

How to Measure Anything in Cybersecurity Risk (en Inglés)

Douglas W. Hubbard (Autor) · Richard Seiersen (Autor) · Wiley · Tapa Dura

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "How to Measure Anything in Cybersecurity Risk (en Inglés)"

A start-to-finish guide for realistically measuring cybersecurity risk In the newly revised How to Measure Anything in Cybersecurity Risk, Second Edition, a pioneering information security professional and a leader in quantitative analysis methods delivers yet another eye-opening text applying the quantitative language of risk analysis to cybersecurity. In the book, the authors demonstrate how to quantify uncertainty and shed light on how to measure seemingly intangible goals. It's a practical guide to improving risk assessment with a straightforward and simple framework. Advanced methods and detailed advice for a variety of use cases round out the book, which also includes: A new "Rapid Risk Audit" for a first quick quantitative risk assessment. New research on the real impact of reputation damage New Bayesian examples for assessing risk with little data New material on simple measurement and estimation, pseudo-random number generators, and advice on combining expert opinion Dispelling long-held beliefs and myths about information security, How to Measure Anything in Cybersecurity Risk is an essential roadmap for IT security managers, CFOs, risk and compliance professionals, and even statisticians looking for novel new ways to apply quantitative techniques to cybersecurity.