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Data-Driven Security: Analysis, Visualization and Dashboards
Data-Driven Security: Analysis, Visualization and Dashboards

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Manufacturer: Wiley
Publisher: Wiley
Author(s): Jay Jacobs, Bob Rudis

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Product Description:
Binding: Paperback
Brand: John Wiley Sons
EAN: 9781118793725
Edition: 1
Feature: John Wiley Sons
ISBN: 9781118793725
Item Dimensions: Array
Label: Wiley
Languages: Array
Manufacturer: Wiley
Number Of Items: 1
Number Of Pages: 352
Publication Date: 2014-02-24
Publisher: Wiley
Studio: Wiley
Product Features:
John Wiley Sons
Editorial Review:

Uncover hidden patterns of data and respond withcountermeasures

Security professionals need all the tools at their disposal toincrease their visibility in order to prevent security breaches andattacks. This careful guide explores two of the most powerful data analysis and visualization. You'll soon understand how toharness and wield data, from collection and storage to managementand analysis as well as visualization and presentation. Using ahands-on approach with real-world examples, this book shows you howto gather feedback, measure the effectiveness of your securitymethods, and make better decisions.

Everything in this book will have practical application forinformation security professionals.

  • Helps IT and security professionals understand and use data, sothey can thwart attacks and understand and visualizevulnerabilities in their networks
  • Includes more than a dozen real-world examples and hands-onexercises that demonstrate how to analyze security data andintelligence and translate that information into visualizationsthat make plain how to prevent attacks
  • Covers topics such as how to acquire and prepare security data,use simple statistical methods to detect malware, predict roguebehavior, correlate security events, and more
  • Written by a team of well-known experts in the field ofsecurity and data analysis

Lock down your networks, prevent hacks, and thwart malware byimproving visibility into the environment, all through the power ofdata and Security Using Data Analysis, Visualization, andDashboards.


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