Data-Driven Security

Data-Driven Security
PDF, ePUB
  • eBook:
    Data-Driven Security: Analysis, Visualization and Dashboards
  • Author:
    Jay Jacobs, Bob Rudis
  • Edition:
    1 edition
  • Categories:
  • Data:
    February 24, 2014
  • ISBN:
    1118793722
  • ISBN-13:
    9781118793725
  • Language:
    English
  • Pages:
    352 pages
  • Format:
    PDF, ePUB

Book Description
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.

Content

Chapter 1: The Journey to Data-Driven Security
Chapter 2: Building Your Analytics Toolbox: A Primer on Using R and Python for Security Analysis
Chapter 3: Learning the “Hello World” of Security Data Analysis
Chapter 4: Performing Exploratory Security Data Analysis
Chapter 5: From Maps to Regression
Chapter 6: Visualizing Security Data
Chapter 7: Learning from Security Breaches
Chapter 8: Breaking Up With Your Relational Database
Chapter 9: Demystifying Machine Learning
Chapter 10: Designing Effective Security Dashboards
Chapter 11: Building Interactive Security Visualizations
Chapter 12: Moving Toward Data-Driven Security

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